Center for Computing Research (CCR)

Center for Computing Research

Publications & Presentations
  • Abbott, Robert G., Casey Lane Doyle, Aaron Paul Jones, "Simulating decision making complex system recovery," Abstract, Military Operations Research Society 89th Symposium in Virtual, NM, USA, June 2021.
  • Abdelfattah, Ahmad, Hartwig Antz, Alan Ayala, Erik Gunnar Boman, Erin Carson, Sebastien Cayrols, Terry Cojean, Jack Dongarra, Robert Falgout, Mark Gates, Thomas Grutzmacher, Nicholas J. Higham, Scott E. Kruger, Sherry Li, Neil Lindquist, Jennifer Ann Loe, Pratik Nayak, Daniel Osei-Kuffuor, Sri Pranesh, Sivasankaran Rajamanickam, Tobias Ribizel, Bryce Barry Smith, Kasia Swirydowicz, Stephen Thomas, Stanimire Tomov, M. Tsai Yaohung, Ichitaro Yamazaki, Urike Meier Yang, "Advances in Mixed Precision Algorithms: 2021 Edition," Report, August 2021.
  • Abidi, Zavar, Andres Goza, Brent C Houchens, "Simulations of flow past a mirrored airfoil configuration inspired by an energy-harvester," Abstract, AIAA SciTech in San Diego, CA, US, June 2021.
  • Acer, Seher , Erik Gunnar Boman, Christian Alexander Glusa, Sivasankaran Rajamanickam, "Sphynx: a parallel mulit-GPU graph partitioner for distributed memory systems," Abstract, SIAM CSE 2021 in Fort Worth, TX, USA, March 2021.
  • Acer, Seher , Erik Gunnar Boman, Christian Alexander Glusa, Sivasankaran Rajamanickam, "Sphynx: A parallel multi-GPU graph partitioner for distributed-memory systems," Presentation, SIAM CSE21 in Fort Worth, TX, USA, March 2021.
  • Acer, Seher , Nabil Abubaker, Cevdet Aykanat, "True Load Balancing for Matricized Tensor Times Khatri-Rao Product," Journal Article, IEEE Transactions on Parallel and Distributed Systems, Submitted January 2021.
  • Adams, Brian M., John Adam Stephens, Dena Vigil, Michael S. Eldred, Laura Painton Swiler, Elliott Marshall Ridgway, "Dakota Software Website," Web Page, https://dakota.sandia.gov/sitemap, July 2021.
  • Adams, Brian M., William Bohnhoff, Keith Dalbey, Mohamed Salah Ebeida, John P. Eddy, Michael S. Eldred, Russell Hooper, Patricia D. Hough, Kenneth Hu, John Davis Jakeman, Mohammad Khalil, Kathryn Anne Maupin, Jason Monschke, Elliott Marshall Ridgway, Ahmad Rushdi, Daniel Thomas Seidl, John Adam Stephens, Justin Winokur, "Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.15 User's Manual," SAND Report, November 2021.
  • Adler, James, Thomas Benson, Eric Christopher Cyr, Patrick Farrell, Scott Maclachlan, Raymond S. Tuminaro, "Monolithic Multigrid for Magnetohydrodynamics," Journal Article, SIAM SISC, pp. S70–S91, Accepted/Published September 2021.
  • Agarwal, Sapan , Benjamin Feinberg, Jacob Nathanael Rohan, Tianyao Xiao, Christopher Bennett, Erik Gunnar Boman, Matthew Marinella, Ryan Wong, Benjamin Heyman, An Ho, Engin Ipek, "High Precision Sparse and Dense Analog Matrix Multiplication," SAND Report, September 2021.
  • Agarwal, Sapan , Lawrence T Clark, Clifford Young Sciortino, Garrick Ng, Dolores Archuleta Black, Matthew Joel Cannon, Jeffrey Black, Heather M Quinn, Hugh Barnaby, John Steven Brunhaver, Matthew Marinella, "Measurement and Modeling of Single Event Transients in 12nm Inverters," Presentation, Nuclear & Space Radiation Effects Conference, June 2021.
  • Agarwal, Sapan , Lawrence T Clark, Clifford Young Sciortino, Garrick Ng, Dolores Archuleta Black, Matthew Joel Cannon, Jeffrey Black, Heather M Quinn, Hugh Barnaby, John Steven Brunhaver, Matthew Marinella, "Measurement and Modeling of Single Event Transients in 12nm Inverters," Presentation, Nuclear & Space Radiation Effects Conference, June 2021.
  • Aguilar, Michael J., Phillip A Regier, Kevin Pedretti, Matthew Leon Curry, Jeffry Brandon Ogden, Harry Lee Ward, "BeeGFS on Demand on Stria: Initial Integration and Experiments," Conference Paper, BeeGFS Users Group 2021-BUG21 in Kaiserslautern, Germany, January 2021.
  • Aguilo Valentin, Miguel Alejandro, Brett W. Clark, Kyle Johnson, Joshua Robbins, Ryan Viertel, "Optimization-based design for additive manufacturing," Presentation, World Congress of Structural and Multidisciplinary Optimization (Virtual), June 2021.
  • Aimone, James Bradley, "A Neuromorphic Future for Classic Computing Tasks," Presentation, Neuro Inspired Computational Elements 2021, March 2021.
  • Aimone, James Bradley, Alexander Mikhailovich Safonov, "Mapping Stochastic Devices to Probabilistic Algorithms," Report, September 2021.
  • Aimone, James Bradley, "Recipes and Tools for Neuromorphic Computing," Presentation, Invited talk to PhILMs Webinar Series, November 2021.
  • Aimone, James Bradley, "Scaling up Markov Chain Monte Carlo on Loihi," Presentation, Intel INRC Winter Meeting, February 2021.
  • Aimone, James Bradley, Aaron Jamison Hill, William Mark Severa, Craig Michael Vineyard, "Spiking Neural Streaming Binary Arithmetic," Conference Paper, IEEE International Conference on Rebooting Computing (ICRC 2021), October 2021.
  • Ait Ettajer, Alexandre , "Verification Testing for Multiphysics Codes," Presentation, Virtual NM Summer Intern Symposium, July 2021.
  • Ait Ettajer, Alexandre , Michael Powell, "Verification Testing for Multiphysics Codes," Presentation, Virtual Poster Blitz in Albuquerque, New Mexico, United States of America, July 2021.
  • Aksar, Burak, Yijia Zhang, Emre Ates, Omar Raad Aaziz, Benjamin Schwaller, James M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K Coskun, "E2EWatch: End-to-end Anomaly Diagnosis Framework for Production HPC Systems," Conference Paper, Euro-Par 2021, August 2021.
  • Aksar, Burak, Yijia Zhang, Emre Ates, Omar Raad Aaziz, Benjamin Schwaller, James M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun, "E2EWatch: End-to-end Anomaly Diagnosis Framework for Production HPC Systems," Presentation, Euro-Par 2021, August 2021.
  • Albrecht, Dylan , Noah Tobias Jacobson, "Non-Gaussian noise characterization with factorial hidden Markov models," Presentation, Quantum Computing Program Review, February 2021.
  • Alexander, Frank, Ian Foster, Aric Hagberg, Peter Nugent, Brian Van Essen, David Womble, James Ang, Michael Wolf, "ExaLearn: Co-Design Center for Exascale Machine Learning Technologies," Poster, ECP Annual Meeting (2021), May 2021.
  • Alsup, Terrence , Thomas Anthony Catanach, "Expected information gain estimates and Bayesian optimal experimental design," Exhibit/Display, CSRI Virtual Poster Blitz, July 2021.
  • Alwadi, Mazen, Vamsee Reddy Komareddy, Clayton Hughes, Simon David Hammond, Amro Awad, "Stealth-Persist: Architectural Support for Persistent Applications in Hybrid Memory Systems," Conference Paper, 27th IEEE International Symposium on High-Performance Computer Architecture (HPCA-27), February 2021.
  • Anderson, Geronimo, Sean Isaac Geronimo Anderson, Keita Teranishi, Daniel Dunlavy, Jee Choi, "Performance-Portable Sparse Tensor Decomposition Kernels on Emerging Parallel Architectures," Conference Paper, 2021 IEEE High Performance Extreme Computing Virtual Conference, September 2021.
  • Anderson, Sarah, Karen Collins, Daniela Ferrero, Leslie Hogben, Carolyn Doo Mayer, Ann Trenk, Shanise Walker, "Project Throttling," Book, Research Trends in Graph Theory and Applications, February 2021.
  • Andrzej, Veita, Marcus P da Silva, Robin J Blume-Kohout, Stephen J. van Enk, "Macroscopic instructions vs microscopic operations in quantum circuits," Journal Article, Physics Letters A, Accepted/Published February 2021.
  • Anguiano, Marcelino, Paul Allen Kuberry, Pavel B. Bochev, Arif Masud, "Synchronous and Concurrent Multidomain Computing Method for Cloud Computing Platforms," Journal Article, SIAM Journal on Scientific Computing, p. S565, Accepted/Published July 2021.
  • Antil, Harbir, Drew Philip Kouri, Johannes Pfefferer, "Risk-averse control of fractional diffusion with uncertain exponent," Journal Article, SIAM Journal on Control and Optimization, Vol. 59, No. 2, pp. 1161–1187, Accepted/Published March 2021.
  • Anwar, Abrar , "Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks," Conference Paper, AAAI-21, February 2021.
  • Anzt, Hartwig, Jennifer Ann Loe, Sivasankaran Rajamanickam, "xSKD Focus Effort Developing Multiprecision Numerics," Poster, ECP Annual Meeting (virtual), April 2021.
  • Arguello, Bryan , "Bilevel and Trilevel Interdiction Models for Power System Cyber Physical Resilience," Abstract, Bilevel and Trilevel Interdiction Models for Power System Cyber Physical Resilience in Anaheim, CA, USA, October 2021.
  • Arguello, Bryan , Nathan Andrew Stewart, Matthew John Hoffman, "Stochastic Optimization of Power System Dynamics for Grid Resilience," Conference Paper, Hawaii International Conference on System Sciences, January 2021.
  • Arienti, Marco , Patrick Joseph Blonigan, Francesco NMN Rizzi, John Tencer, Micah Howard, "Projection-Based Model Reduction for Finite-Element Simulations of Thermal Protection Systems," Conference Paper, 2021 AIAA SciTech Forum (virtual), January 2021.
  • Armstrong, Robert C., "A Vision of an Open Source Correct by Construction Tool Chain," Presentation, DETECT (modeling, testing and verification of critical systems) in online, June 2021.
  • Arndt, Daniel, Wolfgang Bangerth, Bruno Blais, Thomas Conrad Clevenger, Marc Fehling, Alexander Grayver, Timo Heister, Luca Heltai, Matthias Maier, Peter Munch, Jean-Paul Pelteret, Reza Rastak, Ignacio Tomas, Bruno Turcksin, Zhuoran Wang, David Wells, "The deal.II Library, Version 9.2," Journal Article, JOURNAL OF NUMERICAL MATHEMATICS, Accepted/Published February 2021.
  • Baczewski, Andrew David, Thomas Hentschel, Alina Kononov, Stephanie B. Hansen, "Bound-bound features in x-ray Thomson scattering signals," Presentation, APS DPP, November 2021.
  • Baczewski, Andrew David, Alina Kononov, Thomas Hentschel, Stephanie B. Hansen, "Electronic stopping in warm dense matter using Ehrenfest dynamics and time-dependent density functional theory," Poster, 17th International Conference on the Physics of Non-Ideal Plasmas in Dresden, , Germany, September 2021.
  • Baczewski, Andrew David, Alina Kononov, Thomas Hentschel, Stephanie B. Hansen, "Electronic stopping in warm dense matter using Ehrenfest dynamics and time-dependent density functional theory," Abstract, 17th International Conference on the Physics of Non-Ideal Plasmas (PNP17) in Dresden, Germany, September 2021.
  • Baczewski, Andrew David, "Materials properties in the warm dense regime using time-dependent density functional theory," Abstract, APS Division of Plasma Physics in Pittsburg, PA, USA, November 2021.
  • Baczewski, Andrew David, "State preparation for robust phase estimation in molecular systems," Presentation, ACS Spring 2021, March 2021.
  • Baczewski, Andrew David, Antonio Russo, Benjamin Morrison, Kenneth Michael Rudinger, "State preparation for robust phase estimation in molecular systems," Abstract, ACS Spring 2021, January 2021.
  • Bai, Zhaojun, Chao-Ping Lin, Ichitaro Yamazaki, Ding Lu, "Thick-Restart Lanczos with Explicit External Deflation for Computing Many Egenpairs and its Communication-Avoiding Variant," Presentation, SIAM Conference on Parallel Processing for Scientific Computing in Seattle, WA, USA, March 2021.
  • Bailey, Tyson , Jay Tillay Johnson, Drew Levin, "Deep Reinforcement Learning For Online Distribution Power System Cybersecurity Protection," Conference Paper, IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids in Aachen, , Germany, October 2021.
  • Barca, Giuseppe M., Colleen Bertoni, Laura Carrington, Dipayan Datta, Nuwan Deustua DeSilva, J. Emiliano, Dmitri G. Federov, Jeffrey R. Gour, Anastasia O. Gunina, Emilie Guidez, Taylor Harville, Stephan Irle, Joe Ivanic, Karol Kowalski, Sarom S. Leang, Hui Li, Wei Li, Jesse James Lutz, Ilias Magoulas, Mato Magoulas, Joani Mironov, Vladimir Mironov, Hiroya Nakata, Buu Q. Pham, Piotr Piecuch, David Poole, Spencer R. Pruitt, Alistair P. Rendell, Luke B. Roskop, Tosaporn Sattsathuchana, Michael W. Schmidt, Jun Shen, Masha Sosonkina, Vaibhav Sudriyal, Ananta Tiwari, Jorge L. Galvez-Valejo, Bryce Westheimer, Peng Xu, Federico Zahariev, Mark S. Gordon, "Recent Developments in the General Atomic and Molecular Electronic Structure System," Journal Article, Journal of Chemical Physics, Accepted/Published February 2021.
  • Battaile, Corbett C., Warren Leon Davis, "Machine Learning Models to Predict VISAR Profiles in Complex Materials Using Microstructure Characteristics as Inputs," Abstract, 15th International Conference on Modern Materials and Technologies (CIMTEC 2021) in Montecatini, Terme, Italy, June 2021.
  • Battaile, Corbett C., Warren Leon Davis, "Machine Learning Models to Predict VISAR Profiles in Complex Materials Using Microstructure Characteristics as Inputs," Abstract, 15th International Conference on Modern Materials and Technolgies (CIMTEC 2021) in Montecatini Terme, Italy, June 2021.
  • Beckwith, Frank , Donald W. Guy, Gabriel Jose de Frias, Dan Edward Merewether, Scott T Miller, Matthew David Mosby, Krishen Jitendra Parmar, Julia Anne Plews, Timothy Shelton, Jesse David Thomas, Benjamin Treweek, Michael R. Tupek, Michael Veilleux, Ellen Brooke Wagman, Kevin Manktelow, "Sierra/Solid Mechanics 5.2 Theory Manual," SAND Report, September 2021.
  • Beghini, Lauren L., Andrew Joseph Stershic, Chris D'Elia, Mike Hill, "Verification and Validation of a Process Model with Adaptive Remeshing for a Multiphysics Resistance Forge Weld," Presentation, WCCM-ECCOMAS Virtual Congress, January 2021.
  • Benson, David A., Diogo Bolster, Stephen Pankavich, Michael John Schmidt, "Nonparametric, data-based kernel interpolation for particle-tracking simulations and kernel density estimation," Journal Article, Advances in Water Resources, Accepted/Published March 2021.
  • Berger-Vergiat, Luc , "Kokkos Ecosystem: runtime, math library, tools," Presentation, Lunch and Learn HPC in Richland, WA, USA, September 2021.
  • Berger-Vergiat, Luc , Jonathan J. Hu, Christian Alexander Glusa, Christopher Siefert, "Portability of Nalu-Wind using Trilinos and Kokkos Libraries," Presentation, SIAM CSE21, March 2021.
  • Berry, Jonathan W., Anand Ganti, Kenneth Goss, Carolyn Doo Mayer, Uzoma Onunkwo, Cynthia A. Phillips, Jared Saia, Timothy Shead, "Adapting Secure MultiParty Computation to Support Machine Learning in Radio Frequency Sensor Networks," SAND Report, October 2021.
  • Berry, Jonathan W., Cynthia A. Phillips, Alexandra Porter, "Maintaining Connected Components in Infinite Graph Streams," Presentation, Sandia CSRI Summer Program (for students) seminar in Albuquerque, NM, USA, August 2021.
  • Bertagna, Luca , Mauro Perego, Matthew John Hoffman, "Constraining subglacial hydrology through ice surface velocity observations by solving an inverse ice dynamics-subglacial hydrology problem," Abstract, AGU Fall Meeting in New Orleans, Lousiana, USA, December 2021.
  • Bielich, Daniel Robert William, Julien Langou, Stephen Thomas, Kasia Swirydowicz, Ichitaro Yamazaki, Erik Gunnar Boman, "One-Synch CGS2 Algorithm in the Context of QR and Arnoldi (DCGS2)," Presentation, SIAM LA (Virtual), May 2021.
  • Bisaillon, Philippe, Ajit Desai, Mohammad Khalil, Chris Pettit, Dominique Poirel, Abhijit Sarkar, "A parallel update step of a sampling-free EnKF-type filter," Conference Paper, Ensemble Kalman Filter Workshop, June 2021.
  • Blaylock, Myra L., Ethan Hecht, Kevin Mangala Gitushi, "Modeling of Liquid Hydrogen Pooling for Experimental Design," Abstract, International Conference on Hydorgen Safety 2021 in Edinburgh, Scotland, January 2021.
  • Blaylock, Myra L., Brent C Houchens, Lawrence Cheung, Philip Sakievich, Kenneth Brown, Alan Hsieh, David Charles Maniaci, Luis A Martinez-Tossas, Matthew J Churchfield, "Validation of Actuator Line and Actuator Disk Models with Filtered Lifting Line Corrections Implemented in Nalu-Wind Large Eddy Simulations of the Atmospheric Boundary Layer," Abstract, AIAA SciTech in San Diego , CA, USA f, June 2021.
  • Blonigan, Patrick Joseph, David Ching, Marco Arienti, Francesco NMN Rizzi, Jeffrey A. Fike, "Grid Tailored Reduced-Order Models for Steady Hypersonic Aerodynamics," Abstract, 74th Annual Meeting of the APS Division of Fluid Dynamics in Phoenix, AZ, USA, November 2021.
  • Blonigan, Patrick Joseph, "Grid Tailored Reduced-Order Models for Steady Hypersonic Aerodynamics," Presentation, 74th Annual Meeting of the APS Division of Fluid Dynamics in Phoenix, AZ, USA, November 2021.
  • Blonigan, Patrick Joseph, "Least-Squares Petrov Galerkin Reduced-Order Models for Steady Hypersonic Aerodynamics," Presentation, 16th U.S. National Congress on Computational Mechanics, June 2021.
  • Blume-Kohout, Robin J, "Gate set tomography in practice and principle," Presentation, Seminar at JHU-APL in Baltimore, MD, USA, October 2021.
  • Bochev, Pavel B., Joshua McKinley Hanson, Biliana Stefanova Paskaleva, Eric R. Keiter, Charles E. Hembree, "A hybrid analytic-numerical compact model for radiation induced photocurrent effects," Abstract, Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering, & Technology in San Diego, CA, USA, September 2021.
  • Bochev, Pavel B., "A hybrid analytic-numerical compact model for radiation-induced photocurrent effects," Presentation, Event to celebrate Jackie Chen's selection as a 2020 DOE/SC Distinguished Scientist Fellow, May 2021.
  • Bolstad, Mark , "Is Universal Scene Description the Rosetta Stone for XR?," Presentation, Sandia's 3rd XR Conference in Albuquerque, NM, USA, February 2021.
  • Bolstad, Mark , Walter Alan Scott, "Sandia Site Report," Presentation, DOE Computer Graphics Forum in Albuquerque, NM, USA, April 2021.
  • Bolstad, Mark , "What's new in Paraview," Presentation, DOE Computer Graphics Forum in Albuquerque, NM, USA, April 2021.
  • Bolten, Matthias, Eric de Sturler, Camilla Hahn, Michael L. Parks, "Krylov Subspace Recycling for Evolving Structures," Journal Article, Computer Methods in Applied Mechanics and Engineering, Accepted/Published October 2021.
  • Boman, Erik Gunnar, "Hierarchical Low-rank Solvers for Large Sparse Linear Systems," Presentation, SIAM CSE21, March 2021.
  • Boman, Erik Gunnar, Daniel Robert William Bielich, Jennifer Ann Loe, Ichitaro Yamazaki, "PEEKS Overview," Presentation, ECP Annual Meeting in Virtual, April 2021.
  • Booth, Ruby , "More is not better when Designing Ethical AI/ML," Presentation, 2021 Executive Women's Forum Virtual Conference in Virtual, October 2021.
  • Booth, Ruby , "More is not better when Designing Ethical ML/AI," Presentation, Executive Women's Forum Conference in Virtual, October 2021.
  • Booth, Ruby , "Playing on the Edge: Avoiding Ethical Pitfalls in Wargaming," Presentation, MORS in Virtual, June 2021.
  • Booth, Ruby , "Understanding the Cyber Conflict Landscape," Presentation, Lecture to Nuclear Policy Working Group (NPWG) in Virtual, October 2021.
  • Booth, Ruby , Joshua Letchford, "Wargaming when War is not the Answer: Multipurpose collective conflict resolution games," Presentation, MORS 89 in Virtual, June 2021.
  • Bosler, Peter Andrew, "An extended vortex method for rotating compressible flow on the sphere," Presentation, SIAM CSE21, March 2021.
  • Bradley, Andrew Michael, "Fast atmospheric tracer transport in E3SMv2 and beyond," Presentation, June 2021.
  • Bradley, Andrew Michael, Peter Andrew Bosler, Oksana Guba, Walter Hannah, Mark A. Taylor, "High-order, property-preserving semi-Lagrangian tracer transport and physics-dynamics-grid remap in the E3SMv2 Atmosphere Model," Abstract, AGU Fall Meeting in New Orleans, Louisiana, United States of America, December 2021.
  • Bradley, Andrew Michael, Peter Andrew Bosler, Oksana Guba, "Interpolation Semi-Lagrangian Element-Based Transport (Islet) with p-refinement for extremely high-resolution tracer transport," Abstract, AGU Fall Meeting in New Orleans, Louisiana, United States of America, December 2021.
  • Bran Anleu, Gabriela A., Ethan Hecht, Derek Machalek, "INFLUENCE OF NON-EQUILIBRIUM CONDITIONS ON LIQUID HYDROGEN STORAGE TANK BEHAVIOR," Presentation, INTERNATIONAL CONFERENCE ON HYDROGEN SAFETY 2021 in Edinburgh, , Scotland, September 2021.
  • Brazell, Michael, Shreyas Anathan, Ganesh Vijayakumar, Lawrence Cheung, Michael Sprague, "AMR-Wind: Adaptive mesh-refinement for atmospheric-boundary layer wind energy simulations," Abstract, 74th Annual Meeting of the APS Division of Fluid Dynamics in Phoenix, AZ, USA, November 2021.
  • Brickson, Mitchell Ian, Quinn Campbell, Jeffrey Andrew Ivie, Justin Koepke, Peter A. Schultz, Richard P. Muller, Ezra Bussmann, Andrew David Baczewski, Andrew Mounce, Shashank Misra, "Signatures of missing donors in transport through atomically precise P donor chains in Si," Presentation, APS March Meeting 2021, March 2021.
  • Brightwell, Ronald B., Kurt Brian Ferreira, Ryan Grant, Scott Larson Nicoll Levy, Gerald Fredrick Lofstead, Stephen Lecler Olivier, Kevin Pedretti, Andrew J Younge, Ann C. Gentile, James M. Brandt, "ALAMO: Autonomous Lightweight Allocation, Management, and Optimization," Conference Paper, Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI: SMC 2020, February 2021.
  • Bull, Diana L, Laura Painton Swiler, Kara J. Peterson, Irina Kalashnikova Tezaur, Lyndsay Shand, Warren Leon Davis, Benjamin Moore Wagman, Matthew Gregor Peterson, Erika Louise Roesler, "Climate Intervention Assessment and Attribution," White Paper, February 2021.
  • Bynum, Michael Lee, Anya Castillo, Bernard Knueven, John Daniel Siirola, Jean-Paul Watson, "Decomposing Optimization-Based Bounds Tightening Problems Via Graph Partitioning," Journal Article, Optimization Online, Accepted/Published February 2021.
  • Bynum, Michael Lee, Carl Damon Laird, John Daniel Siirola, "Global Optimization for the Design and Operation of Energy Systems," Abstract, 2021 INFORMS Annual Meeting, May 2021.
  • Bynum, Michael Lee, Santiago Rodriguez, Carl Damon Laird, Bethany L. Nicholson, John Daniel Siirola, Denis Ridzal, "Parapint: Scalable Parallel Solution of Structured Nonlinear Programs," Abstract, 2021 AIChE Annual Meeting in Boston, MA, United States, November 2021.
  • Bynum, Michael Lee, Andrea Staid, Bryan Arguello, Anya Castillo, Bernard Knueven, Carl Damon Laird, Jean-Paul Watson, "Proactive Operations and Investment Planning via Stochastic Optimization to Enhance Power Systems Extreme Weather Resilience," Journal Article, Journal of Infrastructure Systems, Accepted/Published January 2021.
  • Callahan, Jacob , "Importance Sampling in Bayesian OED for Sensor Placement," Exhibit/Display, CSRI Virtual Intern Blitz, July 2021.
  • Campbell, Quinn , Jeffrey Andrew Ivie, Justin Koepke, Mitchell Ian Brickson, Peter A. Schultz, Richard P. Muller, Ezra Bussmann, Andrew David Baczewski, Andrew Mounce, Shashank Misra, "A chemical model for atomic-precision single-donor incorporation of phosphorus atoms in Si(100)-2x1," Presentation, American Physical Society March Meeting 2021, March 2021.
  • Campbell, Quinn , Jeffrey Andrew Ivie, Ezra Bussmann, Scott William Schmucker, Andrew David Baczewski, Shashank Misra, "A model for atomic precision p-type doping with diborane on Si(100)-2x1," Journal Article, The Journal of Physical Chemistry C, Submitted January 2021.
  • Campbell, Quinn , Andrew David Baczewski, Robert Butera, Shashank Misra, "Hole in one: Pathways for deterministic incorporation of a single acceptor in silicon," Presentation, Silicon Quantum Electronics Workshop, October 2021.
  • Cardwell, Suma George, "Achieving Extreme Heterogeneity: CoDesign using Neuromorphic Processors," Presentation, ASCR Workshop on Reimaging and Codesign, March 2021.
  • Cardwell, Suma George, "COINFLIPS Thrust 2," Presentation, October 2021.
  • Carleton, James Brian, Mikhail Mesh, Corbett C. Battaile, William M. Scherzinger, Theron Rodgers, "Cover Letter: Using Mesoscale Modeling and Simulation to Explore the Behavior of Spray-Formed Coatings Under Impact and Radiation Induced Shock," Abstract, Hardened Electronics and Radiation Technology (HEART) Conference 2021, in Tarrytown, NY, USA, March 2021.
  • Carleton, James Brian, Wen Dong, "Quasistatic Electromechanics: Methods and Applications," Abstract, 15th World Congress on Computational Mechanics (WCCM) in Yokohama, , Japan, March 2021.
  • Carleton, James Brian, Mikhail Mesh, Corbett C. Battaile, William M. Scherzinger, Theron Rodgers, "Using Mesoscale Modeling and Simulation to Explore the Behavior of Spray-Formed Coatings Under Impact and Radiation Induced Shock," Abstract, Hardened Electronics and Radiation Technology (HEART) Conference 2021, in Tarrytown, NY, USA, March 2021.
  • Carson, Erin, Tomas Gergelits, Ichitaro Yamazaki, "Mixed Precision s-step Lanczos and Conjugate Gradient Algorithms," Journal Article, Numerical Linear Algebra with Applications, Accepted/Published November 2021.
  • Carvey, Bradley John, "CARVR Idea Lab," Presentation, Sandia's 3rd XR Conference in Albuquerque, NM, USA, February 2021.
  • Carvey, Bradley John, "Impactful Visualizations," Presentation, USF Seminar Series in Data Science (Virtual), June 2021.
  • Casey, Tiernan Albert, Simone Venturi, "A Machine Learning-Based Analysis for Efficient Predictive Modeling of Negative Hydrogen Ion Sources," Presentation, 63rd Annual Meeting of the APS Division of Plasma Physics in Pittsburgh, PA, USA, November 2021.
  • Casey, Tiernan Albert, Ryan Chen, "Sensitivity Analysis and Model Reduction in Plasma Dynamical Systems," Exhibit/Display, CSRI Summer 2021 Poster Blitz, July 2021.
  • Catanach, Thomas Anthony, "Feature-Based Bayesian Inference of Seismic Event Monitoring," Presentation, WAVEFORMS Workshop 2021, July 2021.
  • Chance, Frances S., "Lessons form a dragonfly's brain for neuromorphic computing," Presentation, Invited briefing at Lockheed Martin in virtual, October 2021.
  • Chance, Frances S., "Lessons from dragonflies for neuromorphic computing," Presentation, MARCUS project meeting in Albuquerque, NM, USA, November 2021.
  • Chance, Frances S., "Lessons from Dragonflies in Brain-inspired Computing," Presentation, Society for Brain Mapping and Therapeutics Neuroengineering Conference 2021 in Los Angeles, CA, USA, July 2021.
  • Chen, Qi, Emma Savannah Johnson, David Bernal, Romeo Valentin, Sunjeev Kale, Johnny Bates, John Daniel Siirola, Ignacio E. Grossmann, "Pyomo.GDP: an ecosystem for logic based modeling and optimization development," Journal Article, Optimization and Engineering, Accepted/Published February 2021.
  • Chester, D., T. Groves, Simon David Hammond, Tim Law, S. A. Wright, R. Smedley-Stevenson, S. A. Fahmy, G. R. Mudalige, S. A. Jarvis, "StressBench: A Configured Full System Network and I/O Benchmark Framework," Conference Paper, 2021 IEEE High Performance Extreme Computing Virtual Conference, September 2021.
  • Cheung, Lawrence , Myra L. Blaylock, Kenneth Brown, Nathaniel deVelder, Thomas Herges, Alan Hsieh, David Charles Maniaci, "Comparison of simulated and measured wake behavior in stable and neutral atmospheric conditions," Abstract, AIAA Scitech Forum and Exposition, Wind Energy Symposium in San Diego, California, US, July 2021.
  • Cheung, Lawrence , Nathaniel deVelder, Alan Hsieh, Shreyas Anathan, Michael Brazell, Vijayakumar Ganesh, "Computation and Comparison of the Stable Northeastern US Marine Boundary Layer," Presentation, AIAA Science and Technology Forum and Exposition in Nashville, TN, USA, January 2021.
  • Chiang, Ken , "FARM - Malware Information Sharing (Automated Malware Analysis Symposium)," Presentation, Automated Malware Analysis Symposium in Linthicum, MD, USA, June 2021.
  • Ching, David , Patrick Joseph Blonigan, Francesco NMN Rizzi, Micah Howard, Jeffrey A. Fike, "Quantifying the Impact of the Initial Guess for Projection-Based Model Reduction of Steady Hypersonic Aerodynamics," Conference Paper, AIAA Science and Technology Forum and Exposition in Nashville, TN, USA, January 2021.
  • Ciesko, Jan , "Building a VR motion simulator," Presentation, Sandia's 3rd XR Conference in Albuquerque, NM, USA, February 2021.
  • Ciesko, Jan , "Comms - Summit Series-VIII," Presentation, Nvidia Comms Summit Series, June 2021.
  • Ciesko, Jan , "Kokkos Remote Spaces ? Public Preview 3," Presentation, Intel Coordination Meeting on OneAPI and PGAS in Kokkos, November 2021.
  • Collins, David Isaac, Joshua Robert Braun, Jason Matthew Gates, "Logger A tool for keeping track of Pythons interactions with the shell," Presentation, US-RSE Virtual Conference 21, May 2021.
  • Collis, Samuel Scott, "Information Science for National Security," Presentation, May 2021.
  • Corley, Courtney, David John Stracuzzi, "AI Training for DOE Leadership," Presentation, DOE AI Leadership Training, March 2021.
  • Corrado, Nicholas , Michael Livesay, Jay Tillay Johnson, Drew Levin, "Hybrid Deep Reinforcement Learning For Online Distribution Power System Optimization and Control," Presentation, Sandia Machine Learning and Deep Learning Workshop, July 2021.
  • Corrado, Nicholas , Michael Livesay, Jay Tillay Johnson, Drew Levin, "Hybrid Deep Reinforcement Learning For Online Distribution Power System Optimization and Control," Presentation, 2021 MLDL Workshop, July 2021.
  • Crockatt, Michael Meyers, John N. Shadid, Sidafa Conde, Roger P. Pawlowski, Sibu Mabuza, "Development of an Algorithmic Framework for the Simulation of Partially-Ionized Multifluid Plasma Systems with Arbitrarily Many Species," Presentation, Z Fundamental Science Program Workshop 2021, August 2021.
  • Crockatt, Michael Meyers, John N. Shadid, Roger P. Pawlowski, Sidafa Conde, Sibu Mabuza, Jesus Bonilla, "Fluid Plasma Model Development in Drekar," Presentation, Trilinos User Group Meeting, November 2021.
  • Crossno, Patricia J., Warren L. Hunt, "Automated Ensemble Analysis in Support of Nuclear Deterrence Programs," Newsletter, June 2021.
  • Crossno, Patricia J., "NNSA/CEA Collaboration: Visualization & Deliverables Status: June 2021," Presentation, NNSA/CEA Collaboration Meeting (Virtual), June 2021.
  • Crossno, Patricia J., Jaxon Gittinger, Warren L. Hunt, Matthew Letter, Shawn Martin, Milosz Aleksander Sielicki, "Slycat Scalable Ensemble Analysis and Visualization," Presentation, June 2021.
  • Crossno, Patricia J., Jaxon Morgan Gittinger, Warren L. Hunt, Matthew Letter, Shawn Martin, Milosz Aleksander Sielicki, "Slycat? Ensemble Analytics," Presentation, CSRI Summer Seminar in Albuquerque, NM, USA, July 2021.
  • Crossno, Patricia J., "Visualizing Velocity Direction Using 3D Lookup Tables," Presentation, ASC Winter Quarterly, December 2021.
  • Cummings, Derek, William Eugene Hart, Bernardo Garcia-Carreras, Carl Lanning, Justin Lessler, "Spatio-temporal Estimates of Disease Transmission Parameters for COVID-19 with a Fully-Coupled, County-Level Model of the United States," SAND Report, September 2021.
  • Cusentino, Mary Alice , Mitchell Wood, Aidan P. Thompson, "Development of Machine Learned SNAP Potentials for Studying Radiation Damage in Materials," Abstract, TMS 2021 in Orlando, Florida, USA, March 2021.
  • Cyr, Eric Christopher, Stefanie Guenther, Lars Ruthotto, Jacob B. Schroder, Nico R. Gauger, Gordon Moon, Ravi Ghanshyam Patel, "A Layer-Parallel Approach for Training Deep Neural Networks," Presentation, FOMICS-DADSI SEMINARS ON SCIENTIFIC LEARNING, June 2021.
  • Cyr, Eric Christopher, Stefanie Guenther, Lars Ruthotto, Jacob B. Schroder, Nico R. Gauger, Gordon Moon, Ravi Ghanshyam Patel, "A Layer-Parallel Approach for Training Deep Neural Networks," Presentation, Mathematical Foundations and Applications of Deep Learning, August 2021.
  • Cyr, Eric Christopher, Mamikon Gulian, Kookjin Lee, Ravi Ghanshyam Patel, Mauro Perego, Nathaniel Albert Trask, "An Adaptive Basis Perspective to Improve Initialization and Accelerate Training of DNNs," Presentation, FOMICS-DADSI SEMINARS ON SCIENTIFIC LEARNING, June 2021.
  • Cyr, Eric Christopher, Mamikon Gulian, Ravi Ghanshyam Patel, Mauro Perego, Nathaniel Albert Trask, "An Adaptive Basis Perspective to Improve Initialization and Accelerate Training of DNNs," Presentation, SIAM Conference on Computational Science and Engineering, February 2021.
  • Cyr, Eric Christopher, "Perfection is the Enemy of Fast: The Case for Mathematically Induced Parallelism," Presentation, Computer Science Research Institute throughout our Summer Seminar Series, July 2021.
  • Cyr, Eric Christopher, "Training Deep Neural Networks using Layer-Parallelism," Presentation, CIS External Review Board, March 2021.
  • D'Elia, Marta , Stewart A. Silling, Huaiqian You, Yue Yu, "A data-driven peridynamic continuum model for upscaling molecular dynamics," Presentation, 2021 MLDL Workshop, July 2021.
  • D'Elia, Marta , Huaiqian Yu, Stewart A. Silling, Yue Yu, "A data-driven peridynamic continuum model for upscaling molecular dynamics," Presentation, July 2021.
  • D'Elia, Marta , Stewart A. Silling, Yue Yu, Huaiqian You, "A data-driven peridynamic continuum model for upscaling molecular dynamics," Report, August 2021.
  • D'Elia, Marta , Christian Alexander Glusa, "A fractional model for anomalous diffusion with increased variability. Analysis, allgorithms, and applications to interface problems," Journal Article, Numerical Methods for Partial Differential Equations, Accepted/Published August 2021.
  • D'Elia, Marta , "A new variable-order fractional Laplacian," Presentation, SIAM Conference in Mathematical Aspects of Material Science in Bilbao, Spain, May 2021.
  • D'Elia, Marta , "A Unified Theory of Fractional and Nonlocal Calculus," Presentation, INdAM workshop on Fractional Differential Equations: Modeling, Discretization, and Numerical Solvers in Roma, Italy, July 2021.
  • D'Elia, Marta , Christian Alexander Glusa, Olena Burkovska, "An Optimization-Based Approach to Parameter Learning for Fractional Type Nonlocal Models," Journal Article, Computer Mathematics with Applications, Accepted/Published May 2021.
  • D'Elia, Marta , "Being a mathematician at a National Laboratory," Presentation, Careers in Data Science Panel, July 2021.
  • D'Elia, Marta , Hayley Olson, Mamikon Gulian, "Comparison of Tempered and Truncated Fractional Models," Poster, CSRI Summer Program 2021 Virtual Poster Blitz, July 2021.
  • D'Elia, Marta , "Data driven learning of nonlocal models," Presentation, The 50th John H. Barrett Memorial Lectures in Knoxville, TN, USA, May 2021.
  • D'Elia, Marta , "Data driven learning of nonlocal networks," Presentation, ALOP Workshop on Nonlocal Problems in Trier, Germany, July 2021.
  • D'Elia, Marta , Stewart A. Silling, Huaiqian You, Yue Yu, "Data driven learning of robust nonlocalmodels," SAND Report, September 2021.
  • D'Elia, Marta , Eugenio Ausila, Giacomo Capodaglio, Andrea Chierici, "Efficient quadrature rules for finite element discretizations of nonlocal equations," Report, January 2021.
  • D'Elia, Marta , Mamikon Gulian, Jorge Suzuki, Mohsen Sayernouri, "Fractional Modeling in Action: A Survey of Nonlocal Models for Subsurface Transport, Turbulent Flows, and Anomalous Materials," Report, September 2021.
  • D'Elia, Marta , "Nonlocal Kernel Networks," Presentation, PhILMs Seminar in Virtual, July 2021.
  • D'Elia, Marta , "Nonlocal models in image processing," Presentation, IFIP 2021, August 2021.
  • D'Elia, Marta , Fan Yiming, "Nonlocal operator learning with Uncertainty Quantification," Exhibit/Display, CSRI Summer 2021 Poster Blitz, July 2021.
  • D'Elia, Marta , Michael L. Parks, Goufei Pang, George Karniadakis, "nPINNs: Nonlocal Physics-Informed Neural Networks," Presentation, One Nonlocal World Virtual, January 2021.
  • D'Elia, Marta , Yue Yu, "On the prescription of boundary conditions for nonlocal Poisson's and peridynamics models," Report, June 2021.
  • D'Elia, Marta , Stewart A. Silling, Huaiqian You, Yue Yu, Muge Fermen-Coker, "Peridynamic Model for Single-Layer Graphene Obtained from Coarse Grained Bond Forces," Report, September 2021.
  • Darling, Michael Christopher, Justin E Doak, Richard V. Field, Mark A. Smith, "Optimizing Machine Learning Decisions with Prediction Uncertainty," Presentation, Machine Learning Deep Learning (MLDL), July 2021.
  • Darling, Michael Christopher, Justin E Doak, Richard V. Field, Mark A. Smith, "Optimizing Machine Learning Decisions with Prediction Uncertainty," Presentation, MLDL Conference, July 2021.
  • Das, Barun, Masoud Behzadinasab, Nathaniel Albert Trask, John Foster, "ASCeND: ASymptotically Compatible Strong Form Foundations for Nonlocal Discretization," Poster, Sandia Academic Alliance Spring 2021 UT Austin LDRD Virtual Poster Session, April 2021.
  • Davis, Jacob , Casey Deccio, "A Peek Into the DNS Cookie Jar: An Analysis of DSN Cookie Use," Conference Paper, Passive and Active Measurement Conference Virtual, March 2021.
  • Davis, Jacob , Casey Deccio, "Advertising DNS Protocol Use to Mitigate DDoS Attacks," Conference Paper, The 29th IEEE International Conference on Network Protocols in Virtual, November 2021.
  • Davis, Warren Leon, "In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms," Presentation, DOE Virtual PI Meeting in Washington D.C., , U.S.A, April 2021.
  • Davis, Warren Leon, IV, "In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms," Presentation, Platform for Advanced Scientific Computing (PASC) Conference 2021 in Geneva, Switzerland, July 2021.
  • Davis, Warren Leon, "Machine Learning: Introduction, Applications, and Research," Presentation, Sandia National Laboratories Knowledge Exchange (S,N,A,K,E,) in Albuquerque, NM, USA, May 2021.
  • Davis, Warren Leon, Aaron Jeffrey Olson, Gabriel ANUOLUWAPO Popoola, Dan Stefan Bolintineanu, Theron Rodgers, Emily Vu, "Using Deep Neural Networks to Predict Material Types in Conditional Point Sampling Applied to Markovian Mixture Models," Conference Paper, The International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2021) in Raleigh, NC, USA, October 2021.
  • de Castro, Amy Grace, Paul Allen Kuberry, Pavel B. Bochev, "Partitioned ROM-FEM model coupling for transmission problems," Abstract, Summer Intern Program Poster Blitz in Albuquerque, NM, USA, July 2021.
  • Dean, Thomas , "Moment Propagation in Discrete-Time Systems," Presentation, CSRI Virtual Poster Blitz, July 2021.
  • Demkowicz, Leszek, Nathan V. Roberts, "The DPG Method for the Convection-Reaction Problem, Revisited," Report, March 2021.
  • Devine, Karen D., Iulian Grindeanu, Vijay Mahadevan, "Advanced partitioning strategies for scalable remapping in Climate models," Abstract, SIAM CSE 2021 in Fort Worth, TX, USA, March 2021.
  • Devine, Karen D., Geoffrey C Danielson, Timothy Jesse Fuller, Jonathan J. Hu, Brian Michael Kelley, Kyungjoo Kim, Christopher Siefert, Timothy Andrew Smith, "Removal of the UVM Requirement from Tpetra: MultiVector and BlockMultiVector," Presentation, Tpetra training for stakeholders, March 2021.
  • Devine, Karen D., "Trilinos Users Group Data Services Update," Presentation, Trilinos Users Group (TUG21), November 2021.
  • Devine, Karen D., "Using Tpetra without CUDA UVM," Presentation, Tril, November 2021.
  • DiPietro, Kelsey , "Adaptive Mesh Methods Through Optimal Transport Theory," Abstract, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, July 2021.
  • DiPietro, Kelsey , Denis Ridzal, Alan Lindsay, "Efficient finite element methods for solving Monge-Ampere equation," Presentation, U.S, National Congress on Computational Mathematics, July 2021.
  • Domino, Stefan P., "Linking High-Fidelity Computational Fluid Dynamics Simulations to Probability of Infection: A Case Study in Covid-19 Transport, Deposition, Evaporation, and Tranmission," Conference Paper, AIAA Aviation in Washington District of Columbia, USA, June 2021.
  • Doyle, Casey Lane, Thushara Gunda, Asmeret Bier Naugle, "Hierarchical effects facilitate spreading processes on synthetic and empirical multilayer networks," Journal Article, PLOS ONE, Accepted/Published June 2021.
  • Doyle, Casey Lane, Samuel Gilletly, Stephen Joseph Verzi, Edward N Matteo, Barry L Roberts, Steven R. Sobolik, Dylan Michael Moriarty, "Integrating Machine Learning into a Methodology for Early Detection of Wellbore Failure," Presentation, MLDL Workshop in ALBUQUERQUE, NM, US, July 2021.
  • Doyle, Casey Lane, Stephen Joseph Verzi, Samuel Gilletly, Edward N Matteo, Steven R. Sobolik, Dylan Michael Moriarty, Esther Woon Lyn John, "Integrating Machine Learning into a Methodology for Early Detection of Wellbore Failure," Presentation, MLDL Workshop in ALBUQUERQUE, NM, US, July 2021.
  • Duersch, Jed Alma, Thomas Anthony Catanach, "CIS Project 22359, Final Technical Report. Discretized Posterior Approximation in High Dimensions," SAND Report, September 2021.
  • Dunlavy, Daniel , "Python Tensor Toolbox," Abstract, July 2021.
  • Dunlavy, Daniel , "Questa High Performance Data Analytics," Presentation, 2020 Sandia CIS ERB Review in Albuquerque, NM, USA, March 2021.
  • Dunlavy, Daniel , Tyson Bailey, "Sandia Machine Learning and Deep Learning (MLDL)Workshop-2020 List of Presentations," Presentation, February 2021.
  • Ebeida, Mohamed Salah, Tara LaForce, Joseph E. Bishop, William C. McLendon, "Recent Advances in the VoroCrust Algorithm for Automatic Generation of Conforming Voronoi Meshes," Presentation, USNCCM16 in Virtual, July 2021.
  • Ebeida, Mohamed Salah, "Toward Linear Programming in Strongly Polynomial Time," Presentation, CIS External Review in Albuquerque, NM, USA, March 2021.
  • Ebeida, Mohamed Salah, "Toward Linear Programming in Strongly Polynomial Time.," Presentation, CIS External Review Board, March 2021.
  • Edwards, Arthur H., Andrew C. Pineda, Renee M. Van Ginhoven, Peter A. Schultz, Richard M. Dobzynski, "Predictions for Yellow Luminescence In Cubic Gallium Nitride Under Pressure," Presentation, APS March Meeting 2021 Online, March 2021.
  • Eldred, Christopher , Mark A. Taylor, "Extending TRiSK with consistent boundaries," Presentation, PDEs on the Sphere 2021 (Virtual Meeting), May 2021.
  • Eldred, Christopher , Mark A. Taylor, Matthew Norman, "Extending TRiSK with Higher-Order Hodge Stars and WENO/FCT Advection," Presentation, SIAM CSE21, March 2021.
  • Eldred, Michael S., Gianluca Geraci, Alex Arkady Gorodetsky, John Davis Jakeman, Teresa Portone, "Efficient Deployment of Multifidelity Sampling Methods in Production Settings," Presentation, USNCCM16 in Virtual, July 2021.
  • Eldred, Michael S., Gianluca Geraci, Alex Gorodetsky, John Davis Jakeman, "Enhancing Multifidelity UQ with model tuning," Abstract, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, February 2021.
  • Eldred, Michael S., "Introduction of Michael S. Eldred," Presentation, 2021 Stanford TST Review, January 2021.
  • Eldred, Michael S., Alex Arkady Gorodetsky, Gianluca Geraci, John Davis Jakeman, Teresa Portone, "Recent Advances in Adaptive Refinement of (Regression-Based) Multifidelity Surrogates for UQ," Presentation, SIAM CSE21 in Fort Worth, TX, USA, March 2021.
  • Eldred, Michael S., Gianluca Geraci, Alex Arkady Gorodetsky, John Davis Jakeman, Teresa Portone, Timothy Michael Wildey, Ahmad Rushdi, Daniel Thomas Seidl, "The Dakota Project: Connecting the Pipeline from Uncertainty Quantification R&D to Mission Impact," Presentation, NASA Langley HPC Seminar Series in Hampton, VA, USA, October 2021.
  • Ellis, Austin J, Sivasankaran Rajamanickam, Normand A. Modine, Aidan P. Thompson, John Adam Stephens, Atilla Cangi, "Accelerating Multiscale Materials Modeling with Machine Learning," Presentation, SIAM CSE21, March 2021.
  • Ellis, John , Lenz Fielder, Gabriel ANUOLUWAPO Popoola, Normand A. Modine, John Adam Stephens, Aidan P. Thompson, Sivasankaran Rajamanickam, "Accelerating Finite-Temperature Kohn-Sham Density Functional Theory with Deep Neural Networks," Report, June 2021.
  • Embree, Mark, Jennifer Ann Loe, Ronald Morgan, "Polynomial Preconditioned Arnoldi with Stability Control," Journal Article, SIAM Journal on Scientific Computing, Vol. 43, No. 1, pp. A1–A25, Accepted/Published January 2021.
  • Eugenio, Evercita Cuevas, Fang Liu, "Construction of Differentially Private Empirical Distributions from a low-order Marginals Set through Solving Linear Equations with L2 Regularization," Presentation, Computing Conference 2021 Virtual, May 2021.
  • Eugenio, Evercita Cuevas, "Differentially Private Approach for Model Sharing in the Federated Learning System," Presentation, Technical Awareness and Sharing Meeting in virtual, August 2021.
  • Feddema, John T., "Sandia's Trusted Artificial Intelligence Strategic Initiative," Presentation, CIGIE Emerging Technology Symposium, July 2021.
  • Ferreira, Kurt Brian, Scott Larson Nicoll Levy, "Characterizing Memory Failures Using Bedford's Law," Conference Paper, 14th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids in Lisbon, Estremadura, Portugal, August 2021.
  • Ferreira, Kurt Brian, Scott Larson Nicoll Levy, "Characterizing Per-node Memory Failures Using Benford's Law," Conference Paper, Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS 2021) in St. Louis, MO, USA, November 2021.
  • Ferreira, Kurt Brian, Scott Larson Nicoll Levy, "Evaluating MPI Resource Usage Summary Statistics," Journal Article, Journal of Parallel Computing, Accepted/Published August 2021.
  • Ferreira, Kurt Brian, Scott Larson Nicoll Levy, Victor G. Kuhns, Nathan DeBardelaben, Sean Blanchard, "Understanding the Effects of DRAM Correctable Error Logging at Scale," Conference Paper, IEEE Cluster Conference in Portland, OR, USA, September 2021.
  • Fiedler, Lenz, J. Austin Ellis, Sivasankaran Rajamanickam, Attila Cangi, "An Introduction to the Materials Learning Algorithms Package (MALA)," Poster, CECAM Networking Workshop, May 2021.
  • Finley, Patrick D., Daniel E. Small, David K. Novick, Haedi Elizabeth Thelen, "Standoff Disease Surveillance of Animal Herds: Classifying Symptoms from UAS Video Streams," Presentation, MLDL: Machine Learning and Deep Learning Conference in Albuquerque, NM, USA, July 2021.
  • Finley, Patrick D., Daniel E. Small, David K. Novick, Haedi Elizabeth Thelen, "Standoff Disease Surveillance of Animal Herds: Classifying Symptoms from UAS Video Streams," Presentation, MLDL: Machine Learning and Deep Learning Conference in Albuquerque, NM, USA, July 2021.
  • Fisher, Travis C., "High-Fidelity CFD Preworkshop: Steady Supersonic/Hypersonic Test Suite," Conference Paper, 2021 AIAA SciTech Forum Virtual Conference, January 2021.
  • Fleeter, Casey, Gianluca Geraci, Daniele Schiavazzi, Andrew Kahn, Alison Marsden, "Low-Dimensional Mapping Strategies for Enhancing Multifidelity Uncertainty Quantification of Cardiovascular Models," Abstract, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, February 2021.
  • Fleeter, Casey, Gianluca Geraci, Daniele Schiavazzi, Andrew Kahn, Alison Marsden, "Low-Dimensional Mapping Strategies for Enhancing Multifidelity Uncertainty Quantification of Cardiovascular Models," Abstract, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, February 2021.
  • Forrest, Robert , "Supporting DHS Non-Intrusive Inspection With ML," Presentation, 2021 MLDL Workshop, July 2021.
  • Fox, James Siyang, Beatriz Gonzalez, Rampi Ramprasad, Sivasankaran Rajamanickam, Le Song, "Concentric Spherical GNN for 3D Representation Learning," Presentation, SIAM CSE Minisymposium - Scientific Machine Learning: Algorithms and Applications in Virtual, March 2021.
  • Frank, Jonathan H., Bo Zhou, "Experimental Study of Voricity-Strain Interactions in Turbulent Premixed Counterflow Flames," Presentation, 38th International Symposium on Combustion in Adelaide, Australia, January 2021.
  • Frank, Michael P, "Current Status of Reversible Computing," Presentation, SRC Decadal Plan Committee Meeting--Deep Dive, May 2021.
  • Frank, Michael P, "Current Status of Reversible Computing," Presentation, Semiconductor Research Corporation (SRC) Decadal Plan Commitee Deep Dive (Virtual), May 2021.
  • Frank, Michael P, "Perfectly Adiabatic CMOS Logic," Presentation, University of Kentucky ECE Department Colloquium, April 2021.
  • Frank, Michael P, Karpur Shukla, "Quantum Foundations of Classical Reversible Computing," White Paper, April 2021.
  • Frank, Michael P, Karpur Shukla, "Quantum Foundations of Classical Reversible Computing," Journal Article, Entropy, Vol. 23, No. 6, p. 701, Accepted/Published June 2021.
  • Frank, Michael P, Karpur Shukla, "Quantum Foundations of Classical Reversible Computing," Journal Article, Entropy, Accepted/Published May 2021.
  • Frank, Michael P, "Reversible Computing as the Sustainable Path Forward for General Digital Computing," Presentation, Georgia Tech CRNCH Summit 2021 in Atlanta GA, USA, January 2021.
  • Frank, Michael P, "Reversible Computing with Fast, Fully Static, Fully Adiabatic CMOS," Presentation, IEEE International Symposium on Roadmapping Devices & Systems (Online), May 2021.
  • Frank, Michael P, "Reversible Computing with Fast, Fully Static, Fully Adiabatic CMOS (ISRDS '21)," Presentation, International Symposium on Roadmapping Devices & Systems, May 2021.
  • Frank, Michael P, "Reversible Computing--The Long-Term Future of General Digital Computing," Presentation, The Interntional Conference for High-Performance Computing, Networking, Storage, and Analysis in St. Louis, MO, USA, November 2021.
  • Frank, Michael P, "Reversible Computing: The Only Future for General Digital Computing," Presentation, Laboratory for Physical Sciences (LPS) Annual Colloquium, March 2021.
  • Frank, Michael P, "The Reversible Computing Future," Presentation, U. Mass. Amherst ECE Dept. Graduate Seminar, October 2021.
  • Frankel, Ari Louis, Ellen Brooke Wagman, Ryan Michael Keedy, Brent C Houchens, Sarah Nicole Scott, "Embedded Error Bayesian Calibration of Thermal Decomposition of Organic Materials," Journal Article, ASME Journal of Verfication Validation and Uncertainty Quantification, Accepted/Published July 2021.
  • Frazier, Christopher Rawls, "Integrated Resource Supply-Demand-Routing," Presentation, COVID-19 SNL R&D Summit Session #2 in Albuquerque, NM,USA, January 2021.
  • Frederick, Jennifer M, Alejandro Mota, Irina Kalashnikova Tezaur, Diana L Bull, "A thermo-mechanical model of permafrost for the simulation of Arctic coastal erosion," Presentation, USNCCM 2021 in Online, July 2021.
  • Frederick, Jennifer M, Alejandro Mota, Irina Kalashnikova Tezaur, Diana L Bull, "Advanced modeling and simulation of Arctic coastal erosion," Presentation, UT El Paso Advanced Modeling & Simulation Seminar in El Paso, TX, USA, May 2021.
  • Freno, Brian Andrew, Brian Carnes, V. Gregory Weirs, "Code-Verification Techniques for Hypersonic Reacting Flows in Thermochemical Nonequilibrium," Journal Article, Journal of Computational Physics, Vol. 425, No. 15, Article No. 109752, Accepted/Published January 2021.
  • Freno, Brian Andrew, Brian Carnes, V. Gregory Weirs, "Code-Verification Techniques for Hypersonic Reacting Flows in Thermochemical Nonequilibrium," Conference Paper, 14th World Congress on Computational Mechanics, January 2021.
  • Frink, Collin , "Benchmarking Quantum Algorithms with Neural Networks," Exhibit/Display, CSRI Summer 2021 Poster Blitz, July 2021.
  • Frink, Collin , Andrew David Baczewski, "Learning Transferable DFT Neural Network Surrogates," Exhibit/Display, CSRI Summer 2021 Poster Blitz, July 2021.
  • Frye, Joseph Ryan, Miranda Rose Mundt Brandenburg, Henry Roy Swantner, Jon Pellegrini, "Spack Configuration Manager: Automating Toolchain Installations," Presentation, US-RSE Virtual Workshop 2021, May 2021.
  • Garg, Raveesh, Eric Qin, Francisco Munoz-Martinez, Robert Guirado, Akshay Jain, Sergi Abadal, Jose L. Abellan, Manuel E. Acacio, Eduard Alarcon, Sivasankaran Rajamanickam, Tushar Krishna, "A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators," Report, March 2021.
  • Gastelum, Zoe Nellie, Timothy Shead, Ahmad Rushdi, "A Large Safeguards-Informed Hybrid Imagery Dataset for Computer Vision Research and Development," Abstract, INMM/ESARDA Joint Annual Meeting in Vienna, Austria, August 2021.
  • Gastelum, Zoe Nellie, Timothy Shead, Ahmad Rushdi, "A Large Safeguards-Informed Hybrid Imagery Dataset for Computer Vision Research and Development," Conference Paper, Joint Annual INMM/ESARDA Meeting in Virtual, August 2021.
  • Gastelum, Zoe Nellie, Timothy Shead, Ahmad Rushdi, "A Safeguards-Informed Image Dataset for Computer Vision R&D," Presentation, INMM/ESARDA Joint Annual Meeting in Virtual, August 2021.
  • Gates, Jason Matthew, William C. McLendon, Joshua Robert Braun, Evan Charles Harvey, "LoadEnv: Consistently Loading Supported Environments Across Machines," Presentation, US-RSE Virtual Conference 21, May 2021.
  • Geraci, Gianluca , John Davis Jakeman, Alex Gorodetsky, "Data-enhanced Modeling and Uncertainty Quantification of Systems with Multiple Fidelities," Abstract, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, January 2021.
  • Geraci, Gianluca , Jonathan Crussell, Laura Painton Swiler, Bert Debusschere, "Exploration of multifidelity UQ sampling strategies for computer network applications," Journal Article, International Journal for Uncertainty Quantification, Accepted/Published February 2021.
  • Geraci, Gianluca , Michael S. Eldred, Xiaoshu Zeng, Roger Ghanem, "Exploring important directions for multifidelity uncertainty quantification by basis adaptation method," Abstract, SIAM CSE 2021 in Fort Worth, TX, USA, March 2021.
  • Geraci, Gianluca , Teresa Portone, Michael S. Eldred, Michael Merritt, "Hybrid multilevel Monte Carlo polynomial chaos expansion method for global sensitivity analysis," Abstract, SIAM CSE 2021 in Fort Worth, TX, USA, March 2021.
  • Geraci, Gianluca , Aaron Jeffrey Olson, "Impact of sampling strategies in the polynomial chaos surrogate construction for Monte Carlo transport applications," Conference Paper, ANS M&C 2021, January 2021.
  • Geraci, Gianluca , Daniel Thomas Seidl, Michael S. Eldred, Friedrich Mehorn, Ryan King, Hans-Joachim Bungartz, Youssef Marzouk, "Mulitfielity derivative-free optimization under uncertainty for wind plants," Presentation, WCCM-ECCOMAS CONGRESS (virtual), January 2021.
  • Geraci, Gianluca , John Davis Jakeman, Michael S. Eldred, Alex Gorodetsky, "Multifidelity information fusion via network models for uncertainty quantification in aerospace dynamical systems," Presentation, AIAA Scitech 2021 (virtual), January 2021.
  • Geraci, Gianluca , Daniel Thomas Seidl, Michael S. Eldred, Friedrich Menhorn, Youssef Marzouk, Hans-Joachim Bungartz, "Multifidelity Monte Carlo Estimators for Robust Formulations in Optimization under Uncertainty," Abstract, SIAM CSE 2021 in Fort Worth, TX, USA, March 2021.
  • Geraci, Gianluca , Daniel Thomas Seidl, Michael S. Eldred, Friedrich Menhorn, Ryan King, Hans-Joachim Bungartz, Youssef Marzouk, "Multifidelity strategies for optimization under uncertainty of wind power plants," Conference Paper, AIAA Scitech 2021 (virtual), January 2021.
  • Geraci, Gianluca , Daniel Thomas Seidl, Friedrich Menhorn, Ryan King, Michael S. Eldred, "Multifidelity Uncertainty Quantification for wind energy," Presentation, June 2021.
  • Geraci, Gianluca , Laura Painton Swiler, Bert Debusschere, "Multifidelity UQ sampling for stochastic simulations," Abstract, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, February 2021.
  • Geraci, Gianluca , Michael S. Eldred, John Davis Jakeman, Teresa Portone, Alex Gorodetsky, "Recent advances in adaptive refinement of multifidelity surrogates," Abstract, SIAM CSE 2021 in Fort Worth, TX, USA, March 2021.
  • Geraci, Gianluca , Alex Arkady Gorodetsky, Michael S. Eldred, John Davis Jakeman, Xiaoshu Zeng, Roger Ghanem, "Uncertainty Quantification with multifidelity strategies based on models with dissimilar parametrization.," Presentation, WCCM-ECCOMAS CONGRESS (virtual), January 2021.
  • Giem, Elisabeth Anne, "Resilient Execution Spaces: Challenges of Large-Scale Software Research During Quarantine," Presentation, NSF NICE Meeting, May 2021.
  • Giem, Elisabeth Anne, Nicolas Manuel Morales, David Zoeller Poliakoff, Keita Teranishi, Daisy Hollman, "Resilient Kokkos: Resilient Execution Spaces," Presentation, Sandia Student Intern Symposium in Livermore, CA, USA, July 2021.
  • Gioiosa, Roberto, Sivasankaran Rajamanickam, Tushar Krishna, "ARIAA: Center for co-design of ARtificial Intelligence focused Architectures and Algorithms," Conference Paper, ASCR Workshop on Reimaging and Codesign, March 2021.
  • Glusa, Christian Alexander, "A Fractional Model for Anomalous Diffusion with Increased Variability," Presentation, Coupled2021, June 2021.
  • Glusa, Christian Alexander, "Optimal Control for the Fractional Laplacian," Presentation, SIAM CSE21, March 2021.
  • Gorodetsky, Alex Arkady, John Davis Jakeman, Gianluca Geraci, "MFNets: data efficient all-at-once learning of multifidelity surrogates as directed networks of information sources," Journal Article, Computational Mechanics, Accepted/Published August 2021.
  • Grant, Ryan , Michael J. Levenhagen, Matthew Dosanjh, Patrick Widener, "RVMA: Remote Virtual Memory Access," Conference Paper, IEEE International Parallel & Distributed Processing Symposium in Portland, OR, March 2021.
  • Grant, Ryan Eric, Scott Larson Nicoll Levy, William Whitney Schonbein, "Co-design of System Software for Compute Accelerators and SmartNICs," Conference Paper, ASCR Workshop on Reimagining and Codesign, February 2021.
  • Grant, Ryan Eric, "MPI Partitioned Communication for Highly Concurrent and Heterogeneous Systems," Presentation, Center for Understandable Performant Exascale Communication Systems Symposium, Virtual, March 2021.
  • Grant, Ryan Eric, "MPI Partitioned Communication: MPI BoF ISC 2021," Presentation, ISC High Performance in, Germany, June 2021.
  • Grant, Ryan Eric, "RVMA: Remote Virtual Memory Access (long presentation)," Conference Paper, 35th IEEE International Parallel & Distributed Precessing Symposium in Portland, OR, USA, May 2021.
  • Grindeanu, Iulian, Vijay Mahadevan, Karen D. Devine, "Advanced Partitioning Strategies for Scalable Remapping in Climate Models," Poster, SIAM Conference on Computational Science and Engineering in Forth Worth, TX, USA, March 2021.
  • Guba, Oksana , Mark A. Taylor, Andrew Michael Bradley, Peter Andrew Bosler, Andrew Steyer, "A framework to evaluate IMEX schemes for atmospheric models," Presentation, PDEs on the Sphere 2021, May 2021.
  • Guermond, Jean-Luc, Matthias Maier, Bojan Popov, Ignacio Tomas, "Second-order invariant domain preserving approximation of the compressible Navier-Stokes equations," Journal Article, Comput. Methods Appl. Mech. Engrg, Accepted/Published February 2021.
  • Gulian, Mamikon , Ravi Ghanshyam Patel, Nathaniel Albert Trask, Eric Christopher Cyr, "A block coordinate descent optimizer for classification problems exploiting convexity," Conference Paper, AAAI-MLPS 2021, March 2021.
  • Gulian, Mamikon , "A block coordinate descent optimizer for classification problems exploiting convexity," Presentation, AAAI-MLPS 2021, March 2021.
  • Gulian, Mamikon , "A Unified Theory of Fractional, Nonlocal, and Weighted Nonlocal Vector Calculus," Poster, One Nonlocal World Virtual, January 2021.
  • Gulian, Mamikon , "Analysis of Anisotropic Nonlocal Diffusion Models: Well-posedness of Fractional Problems for Anomalous Transport," Presentation, SIAM MS 2021, May 2021.
  • Gulian, Mamikon , "Data-driven learning of nonlocal physics from high-fidelity synthetic data," Presentation, SIAM CSE21, March 2021.
  • Gulian, Mamikon , "Data-driven learning of nonlocal physics from high-fidelity synthetic data," Presentation, CONFERENCIA IFIP TC7 2021, August 2021.
  • Gulian, Mamikon , "Gaussian Process Regression constrained by Boundary Value Problems," Presentation, 16th U.S. Congress on Computational Mechanics A Virtual Event, July 2021.
  • Gulian, Mamikon , "Partition of Unity Networks for Deterministic and Probabilistic Regression," Presentation, Brown CRUNCH Webinar, July 2021.
  • Gulian, Mamikon , "Robust architectures, initialization, and training for deep neural networks," Presentation, Candidate Seminar, July 2021.
  • Gulian, Mamikon , "Robust architectures, initialization, and training for deep neural networks via the adaptive basis interpretation," Abstract, University of Maryland Baltimore County Math Colloquium, April 2021.
  • Gulian, Mamikon , "Robust architectures, initialization, and training for deep neural networks via the adaptive basis interpretation," Presentation, SIAM Southeastern Atlantic Section Conference, September 2021.
  • Hajduk, Hennes, Dmitri Kuzmin, Tzanio Kolev, Ignacio Tomas, John N. Shadid, "Matrix-free subcell residual distribution for Bernstein finite elements: Monolithic limiting," Journal Article, Computers and Fluids, Accepted/Published February 2021.
  • Hammond, Simon David, James H. Laros, Kevin Pedretti, Andrew J Younge, Robert J. Hoekstra, "Experiences with ARM," Presentation, NNSA/CEA Codesign Working Group Discussions, April 2021.
  • Hammond, Simon David, Matthew Leon Curry, Vinh Quang Dang, Oksana Guba, Robert J. Hoekstra, James H. Laros, Kevin Pedretti, David Zoeller Poliakoff, Sivasankaran Rajamanickam, Christian Robert Trott, Andrew J Younge, "Fugaku and A64FX (Sandia and RIKEN Collaboration) Update - April 2021," Presentation, NNSA/RIKEN Collaboration Update April 2021, April 2021.
  • Hannah, Walter, Andrew Michael Bradley, Oksana Guba, Qi Tang, Jon Wolfe, "Separating Physics and Dynamics grids for Improved Computational Efficiency in Spectral Element Earth System Models," Journal Article, Journal of Advances in Modeling Earth Systems (JAMES), Accepted/Published June 2021.
  • Hanson, Alexander Anthony, "Uncertainty Quantification of Delamination Failure within Composite Structures using a Submodel Based Multi-Fidelity Approach," Presentation, 16th US National Congress on Computational Mechanics in Chicago, IL, USA, July 2021.
  • Harper, Graham Bennett, Peter Brian Ohm, Christian Alexander Glusa, "Krylov Solvers and Preconditioning," Presentation, ATPESC 2021, August 2021.
  • Harper, Graham Bennett, "Non-Invasive Multigrid for Semi-Structured Grids," Presentation, 20th Copper Mountain Conference On Multigrid Methods (Virtual) in Albuquerque, NM, United States, March 2021.
  • Harris, Shaun R., Ross Martin Wagnild, Neal Bitter, "Second mode growth in a high velocity boundary layer using stability theory and DNS," Abstract, AIAA Aviation in Washington District of Columbia, USA, June 2021.
  • Hart, Joseph Lee, "Enabling and interpreting hyper-differential sensitivity analysis for Bayesian inverse problems," Presentation, Project meeting with university collaborators on the ASCR RISE Project, April 2021.
  • Hart, Joseph Lee, "Hyper-Differential Sensitivity Analysis for Robust Machine Learned Surrogate Models," Presentation, SIAM Conference on Computational Science and Engineering, March 2021.
  • Hart, Joseph Lee, "Hyper-differential sensitivity analysis of model form error," Abstract, Mechanistic Machine Learning and Digital Twins for Computational Science conference in San Diego, CA, USA, March 2021.
  • Hart, William Eugene, Michael Lee Bynum, Carl Laird, John Daniel Siirola, Andrea Staid, "Large-Scale Nonlinear Approaches for Inference of Reporting Dynamics and Unobserved SARS-CoV-2 Infections," Report, September 2021.
  • Hart, William Eugene, "Performance Portability for ECP Data Analytics," Presentation, SIAM CSE21, March 2021.
  • Hart, William Eugene, Vitus J. Leung, "Using Process Matching to Detect WMD Proliferation," Presentation, 89th MORS Symposium in Quantico, VA, USA, June 2021.
  • Hartland, Tucker , Georg Stadler, Mauro Perego, Kim Anne J. Liegeois, Noemi Petra, "Hierarchical off-diagonal Hessian approximation for Bayesian inverse problems with application to the flow of the Greenland ice sheet," Presentation, SIAM Conference on Mathematical and Computational Issues in the Geosciences, June 2021.
  • Hartland, Tucker, Mauro Perego, Noemi Petra, "Inversion of the Humboldt Glacier Basal Friction Coefficient Field in an Uncertain Ice Sheet Model," Presentation, Uncertainty Quantification Working Group (SNL hosted seminar), August 2021.
  • Hartland, Tucker , Mauro Perego, "The Impact of Continental Scale Ice-Sheet Model Error on Inferred Parameter Uncertainties," Abstract, CSRI Summer Program 2021 -- Virtual Poster Blitz in Albuquerque, NM, USA, July 2021.
  • Harvey, Evan Charles, "A Common Tool for Building Trilinos: Introduction to GenConfig," Presentation, Trilinos User-Developer Group Meeting 2021, November 2021.
  • Haskins, Keira, Patrick Bridges, Kurt Brian Ferreira, Scott Larson Nicoll Levy, "A Benchmark to Understand Communication Performance in Hybrid MPI and GPU Applications," Conference Paper, ExaMPI21: Workshop on Exascale MPI, November 2021.
  • He, Qizhi, Mauro Perego, "Modeling land ice with deep operator networks," Presentation, SIAM Southeastern Atlantic Section Conference, September 2021.
  • Hecht, Ethan , Gabriela A. Bran Anleu, Derek Machaleka, "INFLUENCE OF NON-EQUILIBRIUM CONDITIONS ON LIQUID HYDROGEN STORAGE TANK BEHAVIOR," Conference Paper, INTERNATIONAL CONFERENCE ON HYDROGEN SAFETY 2021 in Edinburgh, September 2021.
  • Hegde, Arun Shantaram, Cosmin Safta, Habib N. Najm, Elan Weiss, Wolfgang Windl, "Bayesian calibration of interatomic potential models for binary alloys," Conference Paper, International Society for Bayesian Analysis in Storrs, Connecticut, USA, June 2021.
  • Hegde, Arun Shantaram, "Bayesian calibration of interatomic potential models for binary alloys," Presentation, June 2021.
  • Hegde, Arun Shantaram, Cosmin Safta, Habib N. Najm, Elan Weiss, Wolfgang Windl, "Bayesian calibration of interatomic potential models for binary alloys," Presentation, International Society for Bayesian Analysis in Storrs, CT, USA, June 2021.
  • Hegde, Arun Shantaram, Cosmin Safta, Habib N. Najm, Elan Weiss, Wolfgang Windl, "Bayesian Calibration of Interatomic Potential Models for Binary Alloys," Presentation, 6th U.S. National Congress on Computational Mechanics in Chicago, Illinois, United States of America, July 2021.
  • Herriott, Carl Frank, Scott Howard Smith, Michael Stender, Lauren L. Beghini, Christopher W. San Marchi, Zahra Ghanbari, Kyle N. Karlson, "Near-Melt Material Model Calibrations for Stainless Steel 304L ? Leveraging Experimental Data to Improve Residual Stress Predictions Induced by Welds and Additive Manufacturing," Presentation, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, July 2021.
  • Hoekstra, Robert J., "ASC/CEA Update: SNL Site Overview," Presentation, CEA/ASC Virtual Update, November 2021.
  • Hoekstra, Robert J., "Sandia Site Update," Presentation, Virtual CEA NNSA Meeting, June 2021.
  • Hoffman, Matthew, Xylar Asay-Davis, Stephen Price, Jeremy Fyke, Mauro Perego, "Effect of Subshelf Melt Variability on Sea Level Rise Contribution From Thwaites Glacier, Antarctica," Journal Article, JGR Earth Surface, Accepted/Published February 2021.
  • Hoffman, Matthew John, Sammy Joe Bussell, Nathanael J. K. Brown, "A Minimally Supervised Event Detection Method (AHFE 2021 Abstract)," Abstract, AHFE 2021 in New York, NY, USA, July 2021.
  • Hoffman, Matthew John, Sammy Joe Bussell, Nathanael J. K. Brown, "A Minimally Supervised Event Detection Method (AHFE 2021 Paper)," Conference Paper, AHFE 2021 in New York, NY, USA, July 2021.
  • Hoffman, Matthew John, Sammy Joe Bussell, Nathanael James Kelly Brown, "A Minimally Supervised Event Detection Method (AHFE 2021 Presentation)," Presentation, AHFE 2021 in New York, NY, USA, July 2021.
  • Hoffman, Matthew John, Sammy Joe Bussell, Nathanael James Kelly Brown, "A Minimally Supervised Event Detection Method (MLDL 2021 presentation slides)," Presentation, 4th annual Sandia Machine Learning and Deep Learning (MLDL) Workshop in Albuquerque, NM, US, July 2021.
  • Hoffman, Matthew John, Sammy Joe Bussell, Nathanael James Kelly Brown, "A Minimally Supervised Event Detection Method (MLDL 2021 video)," Presentation, July 2021.
  • Hoffman, Matthew John, "Optimizing Power System Stability Margins After Wide-Area Emergencies," Presentation, IEEE Power and Energy Society General Meeting, June 2021.
  • Homes, Daniel, Anthony Skjellum, Julian Jaeger, Ryan E. Grant, Derek Schafer, Purushotham V. Bangalore, Matthew Dosanjh, Amanda Bienz, Derek Schaffer, "Partitioned Collective Communication," Conference Paper, ExaMPI21: Workshop on Exascale MPI, October 2021.
  • Houchens, Brent C, David Vaughn Marian, Suhas Pol, Carsten Hein Westergaard, "Field Testing a Fluid Flow Energy Harvester with No External Moving Parts," Abstract, APS Division of Fluid Dynamics in Phoenix, AZ, USA, November 2021.
  • Hoy, Jonathan Frederick , Irina Kalashnikova Tezaur, "Survey of dynamic contact algorithms," Presentation, CSRI Intern Poster Session in Online, July 2021.
  • Hu, Jonathan J., Christian Alexander Glusa, "Recent Advances in Maxwell Solvers for PIC Simulations Across Architectures," Presentation, Platform for Advanced Scientific Computing (PASC) Conference (virtual event), July 2021.
  • Hu, Jonathan J., Christopher Siefert, Raymond S. Tuminaro, "Smoothed Aggregation for difficult stretched mesh and coefficient variation problems," Journal Article, Numerical Linear Algebra & Applications, Submitted September 2021.
  • Hughes, Clayton , Rizwan Ashraf, Roberto Gioiosa, Cynthia A. Phillips, Jonathan W. Berry, William Eugene Hart, Carl Laird, Sivasankaran Rajamanickam, "ARIAA Update -- SST," Presentation, PM/PI Meeting AI/Codesign, November 2021.
  • Hughes, Clayton , Suma George Cardwell, "Critical AI/ML Infrastructure for Next Generation Architectures and Applications," Presentation, January 2021.
  • Hughes, Clayton , "HPC Architectures Beyond Exascale," Presentation, SNL Summer Intern Lecture Series, July 2021.
  • Hughes, Clayton , Gwendolyn Renae Voskuilen, Arun F. Rodrigues, Simon David Hammond, "Simulating Next-Gen Dataflow Architectures for HPC," Abstract, 2022 SIAM Conference on Parallel Processing for Scientific Computing - Co-Design of Data Flow Accelerators for Scientific Simulations and Machine Learning, September 2021.
  • Hughes, Clayton , "SST - llyr Development Update," Presentation, ARIAA, March 2021.
  • Hughes, Clayton , "SST -- llyr SpMM," Presentation, ARIAA Software Briefing, July 2021.
  • Hughes, Clayton , Simon David Hammond, Mengchi Zhang, Tim Rogers, Yenchen Liu, Robert J. Hoekstra, "SST-GPU: A Scalable SST GPU Component for Performance Modeling and Profiling," SAND Report, January 2021.
  • Hulette, Geoffrey Compton, John Matthew Bender, Samuel Douglas Pollard, Heidi K. Thornquist, Ariel Kellison, "Formal Methods-based Certification Frameworks for Scientific Computing Applications," Conference Paper, ASCR Workshop on Cybersecurity and Privacy of Scientific Computing Ecosystems, November 2021.
  • Ibanez, Daniel Alejandro, "A Modern, GPU-efficient, Vectorized Implementation of ALEGRA Multi-Fluid Hydro," Presentation, NECDC 2021, April 2021.
  • Ibanez, Daniel Alejandro, "Experiences and Techniques for Modernization at Sandia," Presentation, JOWOG 34 ACS, February 2021.
  • Ibanez, Daniel Alejandro, "LGR: Delivering Mission Value with GPU Computing," Presentation, JOWOG 34 ACS, February 2021.
  • Ibanez, Daniel Alejandro, "Revolutionizing Component Design with LGR," Presentation, CIS ERB 2021, March 2021.
  • Ibanez-Granados, Daniel Alejandro, "Why We Do Not Use Kokkos," Presentation, Center 1400, September 2021.
  • Jackson, Christopher Sahadev, "The coherent measurement of a curved phase space," Presentation, IQC-QuICS Math and Computer Science Seminar in Waterloo, Toronto, Canada, September 2021.
  • Jakeman, John Davis, Samuel Friedman, Michael S. Eldred, Lorenzo Tamellini, Alex Gorodetsky, Doug Allaire, "Adaptive resource allocation for surrogate modeling of systems comprised of multiple disciplines with varying fidelity," Presentation, IX International Conference on Coupled Problems in Science and Engineering, June 2021.
  • Jakeman, John Davis, Michael S. Eldred, Sam Freidman, Lorenzo Tamellini, Alex Gorodetsky, Doug Allaire, "Greedy resource allocation for analysis of integrated system models," Abstract, IX International Conference on Coupled Problems in Science and Engineering, June 2021.
  • Jakeman, John Davis, Gianluca Geraci, Michael S. Eldred, Alex Gorodetsky, "MFNets: Multi-fidelity data-driven networks for Bayesian learning and prediction," Presentation, ECCOMAS Congress 2020 & 14th WCCM, January 2021.
  • Jakeman, John Davis, Alex Gorodetsky, Michael S. Eldred, Gianluca Geraci, Thomas M. Smith, "MFNETS: Multi-Fidelity Data-Driven Networks for Data Analysis," Presentation, MFNETS: Multi-Fidelity Data-Driven Networks for Data Analysis in Fort Worth, Texas, USA, March 2021.
  • Jakeman, John Davis, Michael S. Eldred, Gianluca Geraci, Teresa Portone, Ahmad Rushdi, Daniel Thomas Seidl, Thomas M. Smith, "Multi-fidelity Machine Learning," Presentation, Machine Learning and Deep Learning Conference in Albuququerque, NM, USA, July 2021.
  • Jalving, Jordan Heath, "Graph-Based Modeling and Optimization using Plasmo.jl," Presentation, INFORMS Annual Meeting in Anaheim, CA, United States, October 2021.
  • Jalving, Jordan Heath, Michael Shannon Eydenberg, Logan Blakely, Zachary Kilwein, Fani Boukouvala, Carl Laird, "Physics-Informed Machine Learning Surrogates with Optimization-Based Guarantees: Applications to AC Power Flow," Presentation, AIChE Annual Meeting in Boston, MA, United States, November 2021.
  • Jalving, Jordan Heath, "Physics-Informed Machine Learning Surrogates with Optimization-Based Guarantees: Applications to AC Power Flow," Abstract, 2021 AIChE Annual Meeting in Boston, MA, United States, November 2021.
  • Jeong, Geonhwa, Gokcen Kestor, Prasanth Chatarsi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna, "Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators," Conference Paper, 30th International Conference on Parallel Architectures and Compilation Techniques (PACT), September 2021.
  • Jin, Ruhui, Francesco NMN Rizzi, Eric Joshua Parish, "Reduced-order models for uncertainty quantification," Presentation, CSRI Summer Program Virtual Poster Blitz, July 2021.
  • John, Esther Woon Lyn, Katherine Regina Cauthen, Nathanael James Kelly Brown, Linda Karen Nozick, "DETECTING COMMUNITIES AND ATTRIBUTING PURPOSE TO HUMAN MOBILITY DATA," Conference Paper, Winter Simulation Conference 2021, June 2021.
  • Johnson, Emma Savannah, Santanu Dey, "A Scalable Lower Bound for the Worst-Case Relay Attack Problem on the Transmission Grid," Presentation, INFORMS Annual Meeting 2021 in Anaheim, CA, USA, October 2021.
  • Johnson, Kyle , Demitri Maestas, Philip Noell, Hojun Lim, John M Emery, Matthew David Smith, Carianne Martinez, Warren Leon Davis, "Data=driven Failure Prediction Using Deep Learning," Presentation, July 2021.
  • Johnson, Kyle , Demitri Maestas, Philip Noell, Hojun Lim, John M Emery, Matthew David Smith, Carianne Martinez, Warren Leon Davis, "Predicting Mechanical Performance in Additive Manufacturing Components Using Deep Learning," Presentation, US National Congress on Computational Mechanics, July 2021.
  • Jordan, Cyrus , Myra L. Blaylock, Ethan Hecht, "Computational Risk Analysis of Propane Vehicles," Presentation, Virtual CA Intern Symposium, July 2021.
  • Kapilavai, Dheeraj, Subhrajit Roychowdhury, Yiwei Fu, Lei Yu, Bart G van Bloemen Waanders, "Trajectory Planning for Aerospace Vehicles using Deep Reinforcement Learning," Conference Paper, SciTech in San Diego, CA, USA, May 2021.
  • Karamati, Sara, Jeff Young, Tom Conte, Karl Scott Hemmert, Ryan Grant, Clayton Hughes, Rich Vuduc, "Computational Offload With BlueField Smart NICs," SAND Report, October 2021.
  • Kariya, Harumichi Arthur, Bonnie R. Antoun, "Effect of High Temperature CO2 on Haynes 230 Alloy (Updated, Jan 2021)," Report, January 2021.
  • Karlson, Kyle N., Reese E. Jones, "SNL: MatCal Update," Presentation, Calibrated Materials Models Working Group in Virtual, November 2021.
  • Kelley, Brian Michael, Sivasankaran Rajamanickam, "Graph Coarsening Techniques for GPUs and Manycore CPUs," Presentation, SIAM CSE21, March 2021.
  • Kelley, Brian Michael, Luc Berger-Vergiat, "Trilinos Support on AMD and Intel GPUs," Presentation, Trilinos Users Group (TUG21), November 2021.
  • Kenny, Joseph P., Samuel Knight, "Kubernetes for HPC Administration," Conference Paper, SC21 in St. Louis, MO, USA, November 2021.
  • Khalil, Mohammad , "Probabilistic Approaches to Transfer Learning," Presentation, 4th Annual Sandia Machine Learning and Deep Learning Workshop, July 2021.
  • Knight, Amber , "Kubernetes for HPC Administration (Slides)," Presentation, SC21 in St. Louis, MO, USA, November 2021.
  • Koch, Clinton , Fransiska Kate Dannemann Dugick, Elizabeth Mary Berg, Sarah Albert, Raquel Guzman, "Infrasound Phase Arrival Uncertainty and Seismoacoustic Event Location Comparison," Abstract, The 181st Meeting of the Acoustical Society of America in Seattle, WA, USA, November 2021.
  • Kocoloski, Brian, Alefiya Hussain, Matthew David-Kristofer Troglia, Calvin Ardi, Stephen Schwab, David DeAngelis, Christopher J Symonds, Michael Collins, Ryan Goodfellow, Stephen Cheng, "Case Studies in Experiment Design on a minimega-based Network Emulation Testbed," Conference Paper, Cyber Security Experimentation and Test in Virtual, August 2021.
  • Kolla, Hemanth , Reese E. Jones, Julia A. Plews, Ross Martin Wagnild, "Comprehensive Uncertainty Quantification by Solving PDF Equations Using Lagrangian Methods," Conference Paper, WCCM-ECCOMAS Virtual Congress, January 2021.
  • Kolla, Hemanth , "Tensors for Statistical Analyses of Scientific Data: A Turbulent Combustion Perspective," Presentation, CSRI Summer Program 2021, July 2021.
  • Komareddy, Vamsee Reddy, Clayton Hughes, Simon David Hammond, Amro Awad, "DeACT: Architecture-Aware Virtual Memory Support for Fabric Attached Memory Systems," Conference Paper, 27th IEEE International Symposium on High-Performance Computer Architecture (HPCA-27), February 2021.
  • Kononov, Alina , Thomas Hentschel, Andrew David Baczewski, Stephanie B. Hansen, "Bound-bound features in X-ray Thomson scattering signals," Abstract, 17th International Conference on the Physics of Non-Ideal Plasmas (PNP17) in Dresden, Germany, September 2021.
  • Kononov, Alina , Thomas Hentschel, Andrew David Baczewski, Stephanie B. Hansen, "Bound-bound features in x-ray Thomson scattering signals," Presentation, 17th International Conference on the Physics of Non-Ideal Plasmas in Dresden, , Germany, September 2021.
  • Kononov, Alina , Andrew David Baczewski, Stephanie B. Hansen, Thomas Hentschel, "Comparison of DFT-based methods for electronic stopping in warm dense aluminum," Abstract, APS March Meeting 2021, March 2021.
  • Kononov, Alina , Andrew David Baczewski, Stephanie B. Hansen, Thomas Hentschel, Atilla Cangi, "Comparison of DFT-based methods for electronic stopping in warm dense aluminum," Abstract, APS March Meeting 2021, March 2021.
  • Kononov, Alina , Thomas Hentschel, Attila Cangi, Andrew David Baczewski, Stephanie B. Hansen, "Comparison of DFT-based methods for electronic stopping in warm dense aluminum," Presentation, APS March Meeting 2021 Online, March 2021.
  • Kononov, Alina , Andrew David Baczewski, Thomas Hentschel, Stephanie B. Hansen, "Electronic stopping in warm dense matter using Ehrenfest dynamics and time-dependent density functional theory," Abstract, 63rd Annual Meeting of the APS Division of Plasma Physics in Pittsburgh, PA, USA, July 2021.
  • Kononov, Alina , Jiuyu Sun, Cheng-Wei Lee, Andre Schleife, Carsten A Ullrich, "Real-time description of excitons with time-dependent density-functional theory," Abstract, APS March Meeting 2021, March 2021.
  • Kouri, Drew Philip, "A Matrix-Free Trust-Region Newton Algorithm for Convex-Constrained Optimization," Journal Article, Optimization Letters, Accepted/Published September 2021.
  • Kouri, Drew Philip, Thomas Surowiec, "A Primal-Dual Algorithm for Large-scale Risk Minimization," Abstract, Oberwolfach Workshop on Uncertainty Quantification in Oberwolfach, Germany, February 2021.
  • Kouri, Drew Philip, Thomas M. Surowiec, "A primal-dual algorithm for risk minimization," Journal Article, Mathematical Programming, Accepted/Published February 2021.
  • Kouri, Drew Philip, Thomas Michael Surowiec, "A Primal-Dual Algorithm for Risk Minimization," Journal Article, Mathematical Programming Series A, Submitted January 2021.
  • Kouri, Drew Philip, "Adaptive and Fault-Tolerant Algorithms for Data-Driven Optimization, Design, and Learning," Abstract, May 2021.
  • Kouri, Drew Philip, Denis Ridzal, Raymond S. Tuminaro, "KKT Preconditioners for PDE-Constrained Optimization with the Helmholtz Equation," Journal Article, SIAM SISC, pp. S225–S248, Accepted/Published September 2021.
  • Kouri, Drew Philip, "PDE-Constrained Optimization under Uncertainty," Presentation, DFG-SPP 1962 Summer School on Optimization under Uncertainty in Marburg, , Germany, September 2021.
  • Kouri, Drew Philip, Madeleine Udell, Ramchandran Muthukumar, "Randomized Sketching Algorithms for Low-Memory Dynamic Optimization," Journal Article, SIAM Journal on Optimization, Vol. 31, No. 2, pp. 1242–1275, Accepted/Published May 2021.
  • Kouri, Drew Philip, "Risk-Adapted Design of Experiments for High-consequence Applications," Presentation, CIS External Review Board, March 2021.
  • Kouri, Drew Philip, John Davis Jakeman, Jose Gabriel Huerta, Chandler Baldwin Smith, Timothy Walsh, Madeleine Udell, Stan Uryasev, "Risk-Adapted Experimental Design for High Consequence Systems: LDRD Final Report," SAND Report, September 2021.
  • Krath, Elizabeth Hope, Brent C Houchens, David Vaughn Marian, Suhas Pol, Carsten Westergaard, "Multivariate Design and Optimization of the AeroMINE Internal Turbine Blade," Abstract, AIAA Propulsion and Energy in Denver, CO, USA, August 2021.
  • Krath, Elizabeth Hope, Brent C Houchens, David Vaughn Marian, Suhas Pol, Carsten Westergaard, "Multivariate Design and Optimization of the AeroMINE Internal Turbine Blade," Presentation, AIAA Propulsion and Energy in Denver, CO, USA, August 2021.
  • Krath, Elizabeth Hope, Brent C Houchens, "Multivariate Design Optimization using the Proper Orthogonal Decomposition Method applied to a Low Reynolds Number Airfoil," Abstract, 74th Annual Meeting of the Division of Fluid Dynamics in Phoenix, AZ, US, November 2021.
  • Krause, Cassidy Faye, Andrew Steyer, "Design and Implementation of ETD Methods for Nonhydrostatic Atmosphere Models," Presentation, SIAM Conference on Computational Science and Engineering, March 2021.
  • Kuberry, Paul Allen, Eric R. Keiter, "An embedded Python model interpreter for Xyce (Xyce-PyMi)," SAND Report, August 2021.
  • Kuberry, Paul Allen, Eric R. Keiter, Ting Mei, Pavel B. Bochev, Biliana Stefanova Paskaleva, "Enabling Python physics-aware machine learned device models in Xyce," Abstract, MMLDT-CSET 2021 in San Diego, CA, USA, September 2021.
  • Kuberry, Paul Allen, Kara J. Peterson, Pavel B. Bochev, "Generalized Moving Least Squares (GMLS) with Clip and Assured Sum (CAAS) Post-processing for Earth System Remap," Presentation, SIAM CSE21, March 2021.
  • Kuberry, Paul Allen, "Machine Learning for Xyce Simulation," Newsletter, June 2021.
  • Kuberry, Paul Allen, Mauro Perego, Nathaniel Albert Trask, Pavel B. Bochev, "Remapping native fields for climate applications," Abstract, 15th World Congress on Computational Mechanics (WCCM-XV), November 2021.
  • Kuberry, Paul Allen, Ting Mei, Eric R. Keiter, Biliana Stefanova Paskaleva, Pavel B. Bochev, Joshua McKinley Hanson, "Xyce Python Model Interpreter (Xyce-PyMi) for enabling ML advancements in production circuit simulation software," Presentation, Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technolgy in San Diego, CA, USA, September 2021.
  • Kury, Matthew Wilson, Hagan Evan Bush, Andrea Ambrosini, Kevin Albrecht, "Characterization of Flowing Particle Bed Reactor for Solar Driven Reduction Reactions," Abstract, SolarPACES, June 2021.
  • Kury, Matthew Wilson, Kyle N. Karlson, Elizabeth M. C. Jones, "MatCal: A Specialized Dakota Tool to Assist in Advanced Material Model Calibration," Presentation, 16th U.S. National Congress on Computational Mechanics in Virtual, July 2021.
  • Laird, Carl Damon, "Robust Estimation of COVID-19 Transmission Parameters," Presentation, COVID-19 Summit 2 Virtual, January 2021.
  • Laity, George Russell, Allen C. Robinson, Michael E. Cuneo, Mary Kathleen Alam, Kristian R. C. Beckwith, Nichelle Lee Bennett, Matthew Tyler Bettencourt, Stephen D. Bond, Kyle Cochrane, Louise Criscenti, Eric Christopher Cyr, Karen June De Zetter, Richard R. Drake, Evstati Georgiev Evstatiev, Andrew S. Fierro, Thomas Anthony Gardiner, Forrest W. Glines, Ronald S. Goeke, Nathaniel Donald Hamlin, Russell Hooper, Jason Koski, James Matthew Doyle Lane, Steven Robert Larson, Kevin Leung, Duncan Alisdair Odum McGregor, Philip R. Miller, Sean M. Miller, Susan Jasmin Ossareh, Edward Geoffrey Phillips, Nicholas A. Roberds, Charles Edgar Rose, John N. Shadid, Sidney Shields, Sean C. Simpson, David Sirajuddin, Thomas M. Smith, Matthew Scot Swan, Aidan P. Thompson, Julien Guy Tranchida, Dale R. Welch, Thomas C. Genoni, Carsten Thoma, Alex Russell, Eric D. Watson, David V. Rose, John Williams, Azer Yalin, Ryan D. McBride, Trevor J. Smith, "Towards Predictive Plasma Science and Engineering through Revolutionary Multi-Scale Algorithms and Models,Final Report," SAND Report, January 2021.
  • Lakkaraju, Kiran , "Analytic Applications of Wargames," Presentation, Presentation to Purdue Class, October 2021.
  • Lakkaraju, Kiran , Simon Purton, Wayne Buck, Jason Christian Reinhardt, "Gaming Research for Alliance Network Dynamics," Presentation, 89th MORS Symposium, May 2021.
  • Lakkaraju, Kiran , Andrew William Reddie, Joshua Letchford, "Tracing House Advisory Committee Meeting Slides," Presentation, Tracing House Advisory Committee Presentation, August 2021.
  • Landahl, Andrew J, "2021 APS March Meeting: The surface code on the rhombic dodecahedron," Presentation, American Physical Society March Meeting, March 2021.
  • Lao, Xai , Andrew Joseph Stershic, Brandon Talamini, "Ductile Failure," Presentation, Engineering Science Summer Institute Seminar in Livermore, CA, USA, July 2021.
  • Laros, James H., Kevin Dale Stroup, "SC21 Architecture BoF," Presentation, SC21 in St Lewis , MO, USA, November 2021.
  • Laros, James H., "The right amount of risk: ASC Advanced architecture investigations," Presentation, JOWOG-34, July 2021.
  • Laros, James H., "Those who fail to learn from history are condemned to NOT repeat it," Presentation, CSRI Summer Student Seminar Series in Albuquerque, NM, USA, June 2021.
  • Laros, James H., Simon David Hammond, Kevin Pedretti, "Vanguard-II Application Evaluation Thrust," Presentation, Vanguard II, August 2021.
  • Lee, Kookjin , "Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws," Presentation, 35th AAAI Conference on Artificial Intelligence, January 2021.
  • Lee, Kookjin, Jaideep Ray, Cosmin Safta, "The predictive skill of convolutional neural network models for disease forecasting," Journal Article, Public Library of Science-One, Accepted/Published June 2021.
  • Letchford, Joshua , "Manufacturing Collections and Signals and Simulations," Presentation, Vulcan Quick Look in Livermore, CA, USA, September 2021.
  • Levermann, Anders, Ricarda Winkelmann, Torsten Albrecht, Heiko Goelzer, Nicholas Golledge, Ralf Greve, Phillipe Huybrechts, Jim Jordan, Gunter Leguy, Daneil Martin, Mathieu Morlighem, Frank Pattyn, David Pollard, Aurelien Quiquet, Christian Rodehacke, Helene Seroussi, Johannes Sutter, Tong Zhang, Jonas Breedman, Reinhard Calov, Robert DeConto, Christophe Dumas, Julius Garbe, Hilmar Gudmundsson, Matthew Hoffman, Angelika Humbert, Thomas Kleiner, William Lipscomb, Malte Meinshausen, Sophie Nowicki, Mauro Perego, Stephen Price, Fuyuki Saito, Nicole-Jeanne Schlegel, Sainan Sun, Roderik Van de Wal, "Projecting Antarctica's contribution to future sea level rise from basal ice shelf melt using linear response functions of 16 ice sheet models (LARMIP-2)," Journal Article, Earth Systems Dynamics, Accepted/Published February 2021.
  • Levin, Drew , Carianne Martinez, Jessica Eileen Jones, Patrick D. Finley, "Longitudinal Suicide Risk Prediction and Interpretation with Deep Neural Networks and Shapely Additive Explanations," Presentation, Sandia National Laboratories 2021 Machine Learning and Deep Learning Conference in Albuquerque, NM, US, July 2021.
  • Levin, Drew , Carianne Martinez, Jessica Eileen Jones, Patrick D. Finley, "Longitudinal Suicide Risk Prediction and Interpretation with Deep Neural Networks and Shapley Additive Explanations," Presentation, Sandia National Laboratories 2021 Machine Learning and Deep Learning Conference in Albuquerque, NM, US, July 2021.
  • Levy, Scott Larson Nicoll, Kurt Brian Ferreira, "An Initial Examination of the Effect of Container Resource Constraints on Application Perturbation," Presentation, Workshop on Resource Arbitration for Dynamic Runtimes (RADR), May 2021.
  • Lewis, Cannada , Eric T. Phipps, Tamara Kolda, "Distributed Generalized Canonical Polyadic Decomposition," Presentation, SIAM Conference on Applied Linear Algebra in Virtual, May 2021.
  • Lewis, Cannada , Eric T. Phipps, "Low-Communication Asynchronous Distributed Generalized Canonical Polyadic Tensor Decomposition," Conference Paper, The IEEE High Performance Extreme Computing Conference in Virtual, August 2021.
  • Lewis, Cannada , Eric T. Phipps, "Low-Communication Asynchronous Distributed Generalized Canonical Polyadic Tensor Decomposition," Presentation, IEEE High Performance Extreme Computing Virtual Conference 2021 in Virtual, September 2021.
  • Lewis, Cannada , Eric T. Phipps, "Low-Communication Asynchronous Distributed Generalized Canonical Polyadic Tensor Decomposition," Abstract, The IEEE High Performance Extreme Computing Conference in Boston, MA, USA, September 2021.
  • Lewis, Cannada , Clayton Hughes, Simon David Hammond, Sivasankaran Rajamanickam, "Using MLIR Framework for Codesign of ML Architectures, Algorithms, and Simulation Tools," Report, January 2021.
  • Liem, Radita, Dmytro Povaliaiev, Gerald Fredrick Lofstead, Julian Kunkel, Christian Terboven, "User-Centric System Fault Identification Using IO500 Benchmark," Conference Paper, 6th International Parallel Data Systems Workshop in St. Louis, MO, USA, November 2021.
  • Lifflander, Jonathan Josiah, Nicole Slattengren, Philippe Pierre Pebay, Philip Benjamin Miller, Francesco NMN Rizzi, Matthew Tyler Bettencourt, "Optimizing Distributed Load Balancing for Workloads with Time-Varying Balance," Conference Paper, IEEE CLUSTER 2021 in Portland, OR, USA, September 2021.
  • Lindsay, Payton , Jeffrey A. Fike, Kevin Carlberg, Irina Kalashnikova Tezaur, "Preconditioned Least-Squares Petrov-Galerkin Reduced Order Models for Fluid and Solid Mechanics Problems," Presentation, Mechanistic Machine Learning and Digital Twins for Computational Science Engineering & Technology in San Diego, CA, USA, September 2021.
  • Littlewood, David John, "An Introduction to the Peridigm Code," Abstract, One Nonlocal World: Nonlocal Codes in Livermore, CA, USA, December 2021.
  • Littlewood, David John, Jeremy Trageser, Pablo Seleson, Marco Pasetto, Yohan John, "Convergence Studies for Meshfree Peridynamic Simulations of Dynamic Crack Growth," Abstract, 16th U.S. National Congress on Computational Mathematics in Chicago, IL, USA, July 2021.
  • Littlewood, David John, Julia A. Plews, Nicolas Manuel Morales, Reese E. Jones, "Hierarchical Parallelism for Transient Solid Mechanics Simulations," Presentation, 14th World Congress on Computational Mechanics and 8th European Congress on Computation Methods in Applied Sciences and Engineering, January 2021.
  • Littlewood, David John, Reese E. Jones, Nicolas Manuel Morales, Julia A. Plews, Ulrich Ladislas Lucien Hetmaniuk, Jonathan Josiah Lifflander, "Hierarchical Parallelisms for Transient Solid Mechanics Simulations," Conference Paper, 14th World Congress on Computational Mathematics in Paris, France, January 2021.
  • Littlewood, David John, Mitchell Wood, David Montes de Oca Zapiain, Sivasankaran Rajamanickam, Nathaniel Albert Trask, "Sandia/IBM Discussion on Machine Learning for Materials Applications," Report, October 2021.
  • Littlewood, David John, Henry Tufo, Hiroshi Okuda, Reese E. Jones, "Software Design and Implementation for Next-Generation Parallel Architectures," Abstract, Word Congress on Computational Mechanics and Asian Pacific Congress on Computational Mechanics in Yokohama, Japan, July 2021.
  • Liu, Jianshen, Carlos Maltzahn, Craig D. Ulmer, Matthew Leon Curry, "Performance Characteristics of the Bluefield-2 SmartNIC," Report, May 2021.
  • Loe, Jennifer Ann, "An Introduction to Trilinos," Presentation, CSRI 2021 Intern Summer Series, August 2021.
  • Loe, Jennifer Ann, Christian Alexander Glusa, Ichitaro Yamazaki, Erik Gunnar Boman, Sivasankaran Rajamanickam, "Experimental Evaluation of Multiprecision Strategies for GMRES on GPUs," Presentation, ASHES Workshop for IPDPS 2021 (Virtual), May 2021.
  • Loe, Jennifer Ann, "Five Thoughts for Future Interns," Presentation, CRLC Webinar- Sustainable Horizons Institute in Virtual, November 2021.
  • Loe, Jennifer Ann, Sivasankaran Rajamanickam, "Mixed Precision in Trilinos," Presentation, Trilinos Users Group (TUG21), November 2021.
  • Loe, Jennifer Ann, Christian Alexander Glusa, Erik Gunnar Boman, Ichitaro Yamazaki, Sivasankaran Rajamanickam, "Multiprecision GMRES in Trilinos packages Belos and Kokkos," Presentation, June 2021.
  • Loe, Jennifer Ann, Christian Alexander Glusa, Ichitaro Yamazaki, Erik Gunnar Boman, Sivasankaran Rajamanickam, "Multiprecision Krylov Solvers in Kokkos and Belos," Presentation, SIAM CSE21, March 2021.
  • Loe, Jennifer Ann, Erik Gunnar Boman, "Polynomial Preconditioning in Trilinos," Presentation, ECP Annual Meeting in Virtual, April 2021.
  • Loe, Jennifer Ann, "Using Multiple Precisions in the GMRES Linear Solver," Presentation, Bay Area Research SLAM Lightning Talk Dry Run, August 2021.
  • Lofstead, Gerald Fredrick, Paula Olaya, Andrew J Younge, Michela Taufer, "Fine-Grained Containerization for Data Authentication, Security, and Portable Workflows," Conference Paper, ASCR Workshop on Cybersecurity and Privacy of Scientific Computing Ecosystems, October 2021.
  • Lofstead, Gerald Fredrick, Margaret Rose Lawson, "Managing the High Cost of Data Movement Through Rich Metadata," Presentation, March 2021.
  • Lofstead, Gerald Fredrick, "Simulating the Impossible via Breaking Assumptions," Presentation, Sandia Talks 2021 in Albuquerque, NM, USA, July 2021.
  • Lofstead, Gerald Fredrick, Matthew R. Glickman, "The Opportunity and Challenge of Serverless Computing and Large Scale Computational Science," Conference Paper, ASCR Workshop on the Science of Scientific-Software Development and Use, December 2021.
  • Logan, Luke , Gerald Fredrick Lofstead, Scott Larson Nicoll Levy, Patrick Widener, Xian-He Sun, Anthony Kougkas, "pMEMCPY: a simple, lightweight, and portable I/O library for storing data in persistent memory," Conference Paper, REX-IO at IEEE Cluster 2021 in Portland, OR, USA, July 2021.
  • Logan, Luke , Gerald Fredrick Lofstead, "pMEMCPY: an efficient I/O library for PMEM," Poster, Sandia Poster Blitz, July 2021.
  • Low, Maxwell Reed, "Anomalous Trajectory Detection," Presentation, Student Intern Symposium, Virtual in Albuquerque, New Mexico, USA, July 2021.
  • Low, Maxwell Reed, "Trajectory Anomaly Detection," Presentation, CSRI Poster Blitz in Albuquerque, New Mexico, USA, July 2021.
  • Loyal, Joshua, Asmeret Bier Naugle, Yuguo Chen, "An Eigenmodel for Dynamic Multilayer Networks," Poster, Illinois Student Virtual Poster Session in Virtual, September 2021.
  • Lysogorskiy, Yury, Cas van der Oord, Anton Bochkarev, Sarath Menon, Matteo Rinaldi, Thomas Hammerschmidt, Matous Mrovec, Aidan P. Thompson, Gabor Csanyi, Christoph Ortner, Ralf Drautz, "Performant implementation of the atomic cluster expansion (PACE) and application to copper and silicon," Journal Article, npj Computational Materials, Accepted/Published October 2021.
  • Magann, Alicia Bette, Matthew Grace, Mohan Sarovar, Herschel Rabitz, "Quantum control in the era of quantum computing," Presentation, June 2021.
  • Magann, Alicia Bette, Matthew Grace, Mohan Sarovar, Herschel Rabitz, "Quantum control in the era of quantum computing," Presentation, DOE CSGF Annual Program Review Meeting, June 2021.
  • Mamaluy, Denis , Juan Pedro Mendez Granado, Xujiao Gao, Shashank Misra, "Conductive Properties of Tunnel Junctions in Semiconductor delta-layer Systems," Abstract, International Workshop on Computational Nanotechnology 2021 Online, May 2021.
  • Mamaluy, Denis , Juan P. Mendez-Granado, Xujiao Gao, Shashank Misra, "Quantum Transport Simulations for Si: P δ-layer Tunnel Junctions," Abstract, SISPAD, September 2021.
  • Mamaluy, Denis , Juan Pedro Mendez Granado, Xujiao Gao, Shashank Misra, "Revealing Quantum Effects in Highly Conductive Delta-layer Systems," Journal Article, Communications Physics, Accepted/Published July 2021.
  • Maupin, Kathryn Anne, Jingye Tan, Shuai Shao, Danial Faghihi, "A BAYESIAN MACHINE LEARNING FRAMEWORK FOR SELECTION OF THE STRAIN GRADIENT PLASTICITY MULTISCALE MODEL," Conference Paper, ASME 2021 International Mechanical Engineering Congress & Exposition, November 2021.
  • Maupin, Kathryn Anne, Danial Faghihi, Jingye Tan, Baoshan Liang, "A Physics-Based Machine Learning Framework for Validation and Selection of Multiscale Models of Microscale Plasticity," Abstract, International Mechanical Engineering Congress & Exposition, March 2021.
  • Maupin, Kathryn Anne, "Calibration and Propagation of Model Form Error Across Experimental Settings," Presentation, Computing Research Leadership Council Seminar at UC Merced, May 2021.
  • Maupin, Kathryn Anne, Laura Painton Swiler, "Model Discrepancy Calibration and Propagation Across Experimental Settings," Conference Paper, World Congress on Computation Mechanics in Paris, France, January 2021.
  • Maupin, Kathryn Anne, Anh Tran, "Multi-Output Surrogate Construction for Fusion Simulations," Abstract, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, July 2021.
  • Maupin, Kathryn Anne, Anh Tran, Michael Edwin Glinsky, "Multi-Output Surrogate Construction for Fusion Simulations," Conference Paper, US National Congress on Computational Mechanics in, Chicago, IL, USA, July 2021.
  • Maupin, Kathryn Anne, Anh Tran, Michael Edwin Glinsky, Patrick Knapp, William Lewis, "Multi-Output Surrogate Construction for Fusion Simulations," Abstract, 63rd Annual Meeting of the APS Division of Plasma Physics in Pittsburgh, PA, US, November 2021.
  • Maupin, Kathryn Anne, Anh Tran, "Multi-Output Surrogate Construction for Fusion Simulations," Abstract, SIAM Conference on Uncertainty Quantification, October 2021.
  • Maupin, Kathryn Anne, Danial Faghihi, Jian Wang, Hao Sun, "Physics-Informed Learning and Data-Enabled Predictive Modeling and Discovery of Complex Systems," Abstract, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, July 2021.
  • Maupin, Kathryn Anne, Teresa Portone, "Use of model discrepancy and model selection as a means of informing missing physics," Abstract, SIAM Conference on Computational Science and Engineering in Fort Worth, TX, USA, March 2021.
  • Maupin, Kathryn Anne, "Use of model discrepancy and model selection as a means of informing missing Physics," Abstract, SIAM CSE 2021 in Fort Worth, TX, USA, March 2021.
  • Maupin, Kathryn Anne, Teresa Portone, "Use of Model Discrepancy and Model Selection as a Means of Informing Missing Physics," Presentation, SIAM Conference on Computational Science and Engineering, March 2021.
  • Mayer, Carolyn Doo, "Adapting Secure MultiParty Computation to Support Machine Learning in RF Sensor Networks," Presentation, CIS External Review, March 2021.
  • Mayer, Carolyn Doo, "Communication Using Imperfect Equipment," Abstract, Women Doing Math Seminar, March 2021.
  • Mayer, Carolyn Doo, "Decomposition of Partial Erasure Channels," Presentation, IDA Center for Computing Sciences Virtual Seminar, May 2021.
  • Mayer, Carolyn Doo, "Hybrid Secure MultiParty Computation for Privacy-Preserving Machine Learning," Abstract, Sandia Postdoc Seminar Series, June 2021.
  • Mayer, Carolyn Doo, Shanise Walker, Sarah Anderson, Karen Collins, Daniela Ferrero, Ann Trenk, "Zero Forcing, Power Domination, and Product Power Throttling of a Graph," Abstract, Southeastern International Conference on Combinatorics, Graph Theory & Computing, January 2021.
  • Mayes, Daniel Jason, Thomas D. Tarman, Ali Pinar, "CESoS '21 Workshop," Poster, Workshop on Cyber Experimentation and the Science of Security, November 2021.
  • Mayr, Matthias, Luc Berger-Vergiat, Peter Brian Ohm, Raymond S. Tuminaro, "Non-invasive Multigrid for Semi-Structured Grids," Journal Article, SIAM Journal on Scientific Computing, Submitted September 2021.
  • McFarland, Andrew , "Hololens: Spatial Specific Development," Presentation, Sandia's 3rd XR Conference in Albuquerque, NM, USA, February 2021.
  • McLendon, William C., "PR Testing," Presentation, Trilinos User Group 2021 in Albuquerque, NM, USA, December 2021.
  • Mendez Granado, Juan Pedro, Denis Mamaluy, Xujiao Gao, Shashank Misra, "Conductive Properties of Tunnel Junctions in Semiconductor delta-layer Systems," Presentation, International Workshop on Computation Nanotechnology (IWCN 2021), May 2021.
  • Mendez Granado, Juan Pedro, Denis Mamaluy, "Quantum Effects of Unintentional Dopants in δ-layer Tunnel Junctions," Abstract, Advanced Nano Maaterials and Associated Conferences (ANM2021) in Aveiro, Portugal, July 2021.
  • Mendez Granado, Juan Pedro, Denis Mamaluy, "Quantum Effects of Unintentional Dopants in delta-layer Tunnel Junctions," Presentation, Advanced Nano Materials and Associated Conferences, July 2021.
  • Mendez Granado, Juan Pedro, Denis Mamaluy, Xujiao Gao, Shashank Misra, "Quantum Transport Framework for Highly Conductive Delta-layer Systems," Presentation, May 2021.
  • Mendez Granado, Juan Pedro, Denis Mamaluy, Xujiao Gao, Shashank Misra, "Quantum Transport Framework for Highly Conductive delta-layer Systems," Abstract, International Workshop on Computational Nanotechnology 2021 Online, May 2021.
  • Mendez Granado, Juan Pedro, Denis Mamaluy, Shashank Misra, Xujiao Gao, "Quantum Transport Simulations for Si: P delta-layer Tunnel Junctions," Presentation, SISPAD 2021, September 2021.
  • Mendez Granado, Juan Pedro, Denis Mamaluy, Xujiao Gao, Misra Shashank, "Quantum Transport Simulations for Si:P delta-layer Tunnel Junctions," Conference Paper, International Conference on Simulation of Semiconductor Processes and Devices, September 2021.
  • Menhorn, Friedrich, Gianluca Geraci, Daniel Thomas Seidl, Michael S. Eldred, Ryan King, Hans-Joachim Bungartz, Youssef Marzouk, "Multifidelity Monte Carlo Estimators for Robust Formulations in Optimization under Uncertainty," Presentation, SIAM CSE21 in Fort Worth, TX, USA, March 2021.
  • Menhorn, Friedrich, Gianluca Geraci, Daniel Thomas Seidl, Michael S. Eldred, Hans-Joachim Bungartz, Youssef Marzouk, "Multilevel Estimators for Measures of Robustness in Optimization Under Uncertainty," Abstract, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, February 2021.
  • Menhorn, Frierich, Gianluca Geraci, Daniel Thomas Seidl, Michael S. Eldred, Ryan King, Hans-Joachim Bungartz, Youseff Marzouk, "Multilevel Estimators for Measures of Robustness in Optimization under Uncertainty," Presentation, 6th US National Congress on Computational Mechanics in Chicago, IL, USA, July 2021.
  • Merrell, David P., Allen C. Robinson, Jason J. Sanchez, "Statistical Distributions for Mesh Independent Solutions in ALEGRA," SAND Report, August 2021.
  • Merritt, Michael, Gianluca Geraci, Teresa Portone, Michael S. Eldred, "Global Sensitivity Analysis via hypbrid MLMC PCE," Abstract, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, February 2021.
  • Merritt, Michael, Gianluca Geraci, Michael S. Eldred, Teresa Portone, "Hybrid multi-level Monte Carlo polynomial chaos method for global sensitivity analysis," Presentation, SIAM CSE21 in Fort Worth, TX, USA, March 2021.
  • Merritt, Michael, Gianluca Geraci, Michael S. Eldred, Teresa Portone, "Hybrid multi-level Monte Carlo polynomial chaos method for global sensitivity analysis," Presentation, 16th U.S. National Congress on Computational Mechanics, July 2021.
  • Milewicz, Reed , Miranda Rose Mundt Brandenburg, "An Exploration of the Mentorship Needs of Research Software Engineers," Presentation, Research Software Engineers in HPC (RSE-HPC-2021, co-located with Supercomputing'21), November 2021.
  • Milewicz, Reed , "Building and Sustaining an RSE Department at Sandia National Laboratories," Presentation, International RSE Day: US-RSE community event in Virtual, October 2021.
  • Milewicz, Reed , Miranda Rose Mundt Brandenburg, "Building Bridges: Establishing a Dialogue Between Software Engineering Research and Computational Science," Conference Paper, Workshop on the Science of Scientific-Software Development and Use in Virtual, December 2021.
  • Milewicz, Reed , James Michael Willenbring, Dena Vigil, "Developing an Integrated, Interdisciplinary RSE Department at Sandia National Laboratories," Presentation, US-RSE Virtual Workshop 2021 (Virtual), May 2021.
  • Milewicz, Reed , Elaine M. Raybourn, Greg Watson, Elsa Gonsiorowski, David Rogers, Benjamin Sims, James Michael Willenbring, "Enabling Developer Productivity with Software Process Improvement," Presentation, ECP Community Birds of a Feather Days (Virtual), March 2021.
  • Milewicz, Reed , Osni Marques, Elaine M. Raybourn, "Exploring User Stories for Scientific Software Development," Presentation, SIAM Conference on Computational Science and Engineering, March 2021.
  • Milewicz, Reed , Elaine M. Raybourn, James Michael Willenbring, David Rogers, Elsa Goniorowski, Greg Watson, Benjamin Sims, "Hands-on Tutorial with PSIP Progress Tracking Cards: A Lightweight Method for Improving Software Practices," Presentation, IDEAS/HKHLR Productivity and Sustainability Improvement Planning Tutorial, January 2021.
  • Milewicz, Reed , Peter Pirkelbauer, Prema Soundararajan, Hadia Ahmed, Tony Skjellum, "Negative Perceptions About the Applicability of Source-to-Source Compilers in HPC: A Literature Review," Conference Paper, ompiler-assisted Correctness Checking and Performance Optimization for HPC (C3PO21) in Virtual, July 2021.
  • Milewicz, Reed , Elsa Gonsiorowski, Elena Pourmal, Elaine M. Raybourn, David Rogers, Benjamin Sims, Greg Watson, James Michael Willenbring, "Using the PSIP Toolkit to Achieve your Goals ? A Case study at The HDF Group," Presentation, Exascale Computing Project HPC Webinar Series in VIRTUAL, June 2021.
  • Miller, Nicholas Anthony, Clayton Hughes, "Comparing Intel Compilers Poster," Poster, CSRI Summer Proceedings Poster Blitz, July 2021.
  • Miller, Nicholas Anthony, Jeanine Cook, Clayton Hughes, "Evaluation of oneAPI for FPGAs," Presentation, IXPUG Mid-Year Workshop 2021, June 2021.
  • Mitchell, John A., Gerald Fredrick Lofstead, Jeremy Trageser, "Stitching additive manufacturing SPPARKS microstructure simulations," Conference Paper, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, July 2021.
  • Mitchell, Scott A., "Computing Geometry as a Mathematician in an Engineering Laboratory," Presentation, Computational Research Leadership Council seminar to in Merced, CA, U.S.A., September 2021.
  • Mitchell, Scott A., "Incremental Interval Assignment by Integer Linear Algebra," Presentation, International Meshing Roundtable (virtual online), June 2021.
  • Mitchell, Scott A., Patrick Knupp, Sarah Mackay, Michael Deakin, "Not So HOT Triangulations," Conference Paper, International Meshing Roundtable (Virtual), June 2021.
  • Moon, Gordon, Sivasankaran Rajamanickam, "Mixed-Precision Schemes for Linear Algebra Kernels on GPUs," Presentation, SIAM CSE21, March 2021.
  • Moore, Stan Gerald, "LAMMPS SNAP Potential," Presentation, ECP Highlight Slide, April 2021.
  • Moore, Stan Gerald, "LAMMPS Tutorial," Presentation, ISC 2021 Student Cluster Competition Tutorial, April 2021.
  • Moore, Stan Gerald, Aidan P. Thompson, "Large-Scale Atomistic Simulations," Report, March 2021.
  • Moore, Stan Gerald, Steven J. Plimpton, Michail A. Gallis, "Recent Improvements to the SPARTA DSMC Code," Abstract, Pre-RGD32 Workshop, May 2021.
  • Moore, Stan Gerald, Steven J. Plimpton, Michail A. Gallis, "Recent Improvements to the SPARTA DSMC Code," Presentation, Pre-RGD32 Online Workshop, June 2021.
  • Moore, Stan Gerald, Steven J. Plimpton, Michail A. Gallis, "Recent Improvements to the SPARTA DSMC Code," Presentation, Pre-RGD32 Online Workshop, June 2021.
  • Moore, Stan Gerald, "The State of the LAMMPS KOKKOS Package," Abstract, 2021 Virtual LAMMPS Workshop and Symposium (Online), July 2021.
  • Morales, Nicolas Manuel, Keita Teranishi, Nicolae Bogdan, Christian Robert Trott, Franck Cappello, "Towards High Performance Resilience using Performance Portable Abstractions," Conference Paper, 27th International European Conference on Parallel and Disributed Computing (Euro-Par 2021) in Lisbon, Portugal, August 2021.
  • Morales, Nicolas Manuel, Keita Teranishi, Nicolae Bogdan, Christian Robert Trott, Franck Cappello, "Towards High Performance Resilience using Performance Portable Abstractions," Conference Paper, 27th International European Conference on Parallel and Distributed Computing (Euro-Par 2021) in Lisbon, , Portugal, August 2021.
  • Moreland, Kenneth D., "A Winding Road to Exascale Visualization," Presentation, February 2021.
  • Moreland, Kenneth D., "ECP Milestone Highlights, WBS2.3.4.13 ECP/VTK-m, FY21Q1, STDA05-59," Presentation, January 2021.
  • Moreland, Kenneth D., "VTK-m Update 2021," Presentation, DOECGF 2021, April 2021.
  • Moreland, Kenneth D., "VTK-m: ECP Data Management, Data Analytics, and Visualization Overview," Presentation, ECP Community BOF Days, March 2021.
  • Morris, Karla Vanessa, Colin Snook, Thai Son Hoang, Geoffrey Compton Hulette, Robert C. Armstrong, Michael Butler, "Refinement and Verification of Responsive Control Systems," Presentation, ABZ 2021 8th International Conference on Rigorous State Based Methods (virtual), June 2021.
  • Moxley, Jacob , "Encouraging Pride in the Tools We Use," Conference Paper, BSSW Collegeville in Remote, June 2021.
  • Mundt Brandenburg, Miranda Rose, "RSE-HPC-2021 Panelist Introduction," Presentation, RSE-HPC-2021 at Supercomputing 21, November 2021.
  • Mundt Brandenburg, Miranda Rose, Reed Milewicz, "Working in Harmony: Towards Integrating RSEs into Multi-Disciplinary CSE Teams," Conference Paper, Workshop on the Science of Scientific-Software Development and Use Virtual, December 2021.
  • Munoz-Ramos, Karina , "Improving Grid Resilience/Reliability with Solid-State Transformers and Dynamic Optimization," Presentation, IEEE Innovative Smart Grid Technologies (ISGT) 2020 in Washington, DC, USA, February 2021.
  • Munoz-Ramos, Karina , David Alan Schoenwald, Brian Joseph Pierre, Matthew John Hoffman, "ISGT North America 2021 Panel Discussion," Conference Paper, 2021 Innovative Smart Grid Technologies Conference, February 2021.
  • Musuvathy, Srideep , "Fugu: Algorithm Development for Neuromorphic Hardware," Presentation, CSRI Summer Program 2021 in Albuquerque, NM, USA, June 2021.
  • Musuvathy, Srideep , "RELACSS: Reinforcement Learning for Ground-Station Cybersecurity," Presentation, Virtual Meeting with Prof. Huy Tran at UIUC, November 2021.
  • Muthukumar, Ramchandran, Drew P. Kouri, Madeleine Udell, "Randomized Sketching Algorithms for Low Memory Dynamic Optimization," Journal Article, SIAM Journal on Optimization, Vol. 31, No. 2, pp. 1242–1275, Accepted/Published May 2021.
  • Myers, Jeremy , Daniel Dunlavy, "Using Computation Effectively for Scalable Poisson Tensor Factorization: Comparing Methods Beyond Computational Efficiency," Conference Paper, 2021 IEEE High Performance Extreme Computing Virtual Conference, September 2021.
  • Narvekar, Sheetal , "Intelligent Web Crawling," Presentation, UCDavis Tech Talk in Davis, CA, USA, November 2021.
  • Narvekar, Sheetal , "Intelligent Web Crawling," Abstract, UC Davis Tech Talk in Davis, California, USA, November 2021.
  • Naugle, Asmeret Bier, "Emergent Recursive Multiscale Interaction in Complex Systems," Presentation, CIS External Review Board, March 2021.
  • Nema, Shubham, Rohin Razdan, Arun F. Rodrigues, Karl Scott Hemmert, Gwendolyn Renae Voskuilen, Debratim Adak, Simon David Hammond, Amro Awad, Clayton Hughes, "ERAS: Enabling the Integration of Real-World Intellectual Properties (IPs) in Architectural Simulators," SAND Report, September 2021.
  • Newton, Benjamin David, "Clipping for More Efficient Large-Scale Simulations in ns-3," Abstract, Workshop on ns-3 (WNS3), June 2021.
  • Newton, Benjamin David, "Clipping for More Efficient Large-Scale Simulations in ns-3," Presentation, Workshop on ns-3 (WNS3 2021), June 2021.
  • Nhat, Thanh Tran, David A Benson, Michael John Schmidt, Stephen Pankavich, "A Computational Information Criterion for Particle-Tracking with Sparse or Noisy Data," Journal Article, Advances in Water Resources, Accepted/Published March 2021.
  • Nichol, Jeffrey , Matthew Gregor Peterson, "Causal Analysis for Climate Science," Abstract, Chesapeake Large-Scale Analytics Conference, October 2021.
  • Nichol, Jeffrey , Matthew Gregor Peterson, "Causal Analysis for Climate Science," Abstract, Chesapeake Large-Scale Analytics Conference, October 2021.
  • Nichol, Jeffrey , "Causal Discovery for Climate Science and the Energy Exascale Earth System Model," Presentation, Chesapeake Large-Scale Analytics Conference, October 2021.
  • Nichol, Jeffrey , "Causal Inference and Causal Discovery," Presentation, Verification and validation of machine-learned models used in science and engineering in Albuquerque, NM, USA, July 2021.
  • Nichol, Jeffrey , Matthew Gregor Peterson, Matthew Fricke, "Learning Why: Data-Driven Causal Evaluations of Climate Models," Conference Paper, ICML 2021 Workshop Tackling Climate Change with Machine Learning, July 2021.
  • Nichol, Jeffrey , Matthew Gregor Peterson, Matthew Fricke, "Learning Why: Data-Driven Causal Evaluations of Climate Models," Poster, ICML 2021 Workshop Tackling Climate Change with Machine Learning, July 2021.
  • Nichol, Jeffrey , Matthew Gregor Peterson, Kara J. Peterson, Matthew Fricke, Melanie Moses, "Machine learning feature analysis illuminates disparity between E3SM climate models and observed climate change," Journal Article, Arctic Climate Machine learning Energy Exascale Earth System Model, Accepted/Published May 2021.
  • Nichol, Jeffrey , Matthew Gregor Peterson, Kara J. Peterson, Matthew Fricke, Melanie Moses, "Machine Learning Feature Analysis Illuminates Disparity Between E3SM Climate Models and Observed Climate Change," Journal Article, Journal of Computational and Applied Mathematics, Accepted/Published January 2021.
  • Nichol, Jeffrey , "PhD Committee Meeting 1," Presentation, PhD Committee Meeting, November 2021.
  • Nicholson, Bethany L., Robert Parker, Larry Biegler, "Dynamic Modeling and Optimization," Presentation, IDAES Virtual Stakeholder Meeting, October 2021.
  • Niederhaus, John H. J., "Verification and validation for computational electromagnetics in the ALEGRA code," Presentation, October 2021.
  • Niederhaus, John Henry Judah, "Verification and validation for computational electromagnetics in the ALEGRA code," Presentation, Howard University Physics Department Colloquium (virtual) in Washington, DC, USA, November 2021.
  • Nieves, Pablo, Julien Guy Tranchida, S. Arpan, D. Legut, "Spin-lattice model for cubic crystals," Journal Article, Physical Review B, Accepted/Published March 2021.
  • Nikolov, Svetoslav Valeriev, Kara J. Peterson, Adrian Turner, Dan Stefan Bolintineanu, Joel Thomas Clemmer, "Probing Sea Ice Mechanics with Lagrangian Discrete Element Model for Sea Ice," Abstract, United States National Congress on Computational Mechanics in Chicago, IL, USA, July 2021.
  • O'Brien, Christopher John, John Henry Niederhaus, "Armor Materials Equation of State Quality Evaluation," SAND Report, March 2021.
  • Ohm, Peter Brian, Raymond S. Tuminaro, John N. Shadid, Jonathan J. Hu, Tobias Wiesner, Eric Christopher Cyr, "A Monolithic Algebraic Multigrid Approach for Coupled Multiphysics Problems using the MueLu Framework," Presentation, CM2021: 20TH COPPER MOUNTAIN CONFERENCE ON MULTIGRID METHODS, March 2021.
  • Ohm, Peter Brian, Tobias Wiesner, Eric Christopher Cyr, Jonathan J. Hu, John N. Shadid, Raymond S. Tuminaro, "A monolithic Algebraic Multigrid Framework for Multiphysics Applications with examples from Resistive MHD," Journal Article, SIAM Journal on Scientific Computing, Submitted September 2021.
  • Ohm, Peter Brian, Raymond S. Tuminaro, Jonathan J. Hu, John N. Shadid, Eric Christopher Cyr, Tobias Wiesner, "An Algebraic Monolithic Method for Volume-coupled Multiphysics Problems," Presentation, The 9th ediiton of the International Conference on Computational Methods for Coupled Problems in Science and Engineering, June 2021.
  • Ohm, Peter Brian, Raymond S. Tuminaro, John N. Shadid, Jonathan J. Hu, Tobias Wiesner, "An Algebraic Monolithic Method for Volume-coupled Multiphysics Problems," Presentation, SIAM CSE21, March 2021.
  • Ohm, Peter Brian, Raymond S. Tuminaro, Jonathan J. Hu, John N. Shadid, Eric Christopher Cyr, Tobias Wiesner, "An Algebraic Monolithic Method for Volume-Coupled Multiphysics Problems," Abstract, IX International Conference on Coupled Problems in Science and Engineering, January 2021.
  • Oldfield, Ron A., Steven J. Plimpton, James H. Laros, David Zoeller Poliakoff, Andrew Sornborger, "ASC L2 Milestone 2840 Review Memo," Report, August 2021.
  • Oldfield, Ron A., John T. Feddema, Justin T Newcomer, "The ASC Advanced Machine Learning Initiative at Sandia National Laboratories," Presentation, ASC Advanced Machine Learning Initiative Workshop in Virtual, April 2021.
  • Oldfield, Ron A., "The ASC Advanced Machine Learning Initiatives at Sandia National Laboratories," Presentation, ASC PI Meeting (Virtual), May 2021.
  • Olivier, Stephen Lecler, "Future Challenges for Low-Level System Software: One Perspective," Presentation, Exascale Computing Project Annual Meeting 2021 (virtual), April 2021.
  • Olivier, Stephen Lecler, "Future Directions for OpenMP Task Parallelism," Presentation, Invited Talk (Online), University of Delaware, March 2021.
  • Olivier, Stephen Lecler, Nathan David Ellingwood, Jonathan W. Berry, Daniel Dunlavy, "Performance Portability of an SpMV Kernel Across Scientific Computing and Data Science Applications," Conference Paper, 2021 IEEE High Performance Extreme Computing Virtual Conference, September 2021.
  • Olivier, Stephen Lecler, Nathan David Ellingwood, Jonathan W. Berry, Daniel Dunlavy, "Performance Portability of an SpMV Kernel across Scientific Computing and Data Science Applications," Presentation, 2021 IEEE High Performance Extreme Computing Virtual Conference, September 2021.
  • Outkin, Alexander V., Patricia V Schulz, Timothy Schulz, Thomas D. Tarman, Ali Pinar, "Defender Policy Evaluation and Resource Allocation against MITRE ATT&CK Data and Evaluations," SAND Report, June 2021.
  • Pang, Goufei, Michael L. Parks, Marta D'Elia, George Karniadakis, "nPINNS; Nonlocal Physics-Informed Neural Networks," Presentation, SIAM Conference on Computational Science and Engineering, March 2021.
  • Pang, Guofei, Marta D'Elia, Michael L. Parks, George Karniadakis, "nPINNS: Nonlocal Physics-Informed Neural Networks," Presentation, 16th U.S. National Congress on Computational Mathematics in Chicago, IL, USA, July 2021.
  • Parekh, Ojas D., "CIS External Review Lightning Presentation: Neuromorphic Graph Algorithms," Presentation, CIS External Review, March 2021.
  • Parekh, Ojas D., Yipu Wang, Yang Ho, Cynthia A. Phillips, Ali Pinar, James Bradley Aimone, William Mark Severa, "Neuromorphic Graph Algorithms," SAND Report, November 2021.
  • Parish, Eric Joshua, Yukiko Sonya Shimizu, Kookjin Lee, "Parametric space-time model reduction with deep bases," Presentation, Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering, and Technology in San Diego, CA, USA, September 2021.
  • Parker, Luke Garrison, Frances S. Chance, Suma George Cardwell, "Implementation of Dragonfly Interception Model on Neuromorphic Hardware," Presentation, July 2021.
  • Parker, Luke Garrison, Frances S. Chance, Suma George Cardwell, "Implementation of Dragonfly Interception Model on Neuromorphic Hardware," Presentation, International Conference on Neuromorphic Systems in Oak Ridge, TN, USA, July 2021.
  • Parker, Madeline , "Port of Entry Truck Simulation Common Model Baseline," Presentation, Virtual NM Intern Symposium in Albuquerque, NM, United States, July 2021.
  • Parker, Robert Brunato, Bethany L. Nicholson, "A reduced space simultaneous approach for optimization of nonlinear index-1 differential algebraic equations," Exhibit/Display, CSRI Summer 2021 Poster Blitz, July 2021.
  • Parker, Robert Brunato, Bethany L. Nicholson, John Daniel Siirola, Carl Damon Laird, Lorenz Biegler, "A Reduced-space Simultaneous Approach for Nonlinear Programming with Index-1 Differential Algebraic Equation Systems," Abstract, 14th International Symposium on Process Systems Engineering (PSE 2021) in Kyoto, Japan, June 2021.
  • Parker, Robert Brunato, Bethany L. Nicholson, John Daniel Siirola, Lorenz Biegler, "Diagnostic Tools for Dynamic Models of Chemical Process Systems in Pyomo.DAE," Presentation, American Institute of Chemical Engineers (AIChE) Annual Meeting in Boston, MA, USA, November 2021.
  • Parks, Michael L., "Computational Aspects of Nonlocal Models," Presentation, Center for Nonlinear Analysis, Department of Mathematical Sciences, Carnegie Mellon University in Pittsburgh, PA, USA, April 2021.
  • Parks, Michael L., "On Neumann-type Boundary Conditions for Nonlocal Models," Presentation, Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology in San Diego, CA, USA, September 2021.
  • Patel, Ravi Ghanshyam, Nathaniel Albert Trask, Mitchell Wood, Eric Christopher Cyr, "A Physics-Informed Operator Regression Framework for Extracting Data-Driven Continuum Models," Presentation, SIAM CSE21, March 2021.
  • Patel, Ravi Ghanshyam, "Control volume PINNs: A method for solving inverse problems with hyperbolic PDEs," Presentation, CRUNCH Seminar, January 2021.
  • Patel, Ravi Ghanshyam, Nathaniel Albert Trask, Mitchell Wood, Eric Christopher Cyr, "Learning continuum-scale models from micro-scale dynamics via Operator Regression," Presentation, 14th World Congress on Computational Mechanics, January 2021.
  • Patel, Ravi Ghanshyam, Nathaniel Albert Trask, Eric Christopher Cyr, "Multiscale training for Physics-informed Neural Networks," Presentation, CM2021: 20TH COPPER MOUNTAIN CONFERENCE ON MULTIGRID METHODS, March 2021.
  • Pawlowski, Roger P., S. Stimpson, K. Clarno, J. Gardner, J. Powers, B. Collins, A. Thoth, S. Novascone, S. Pitts, J. Hales, G. Pastore, "Coupled fuel performance calculations in VERA and demonstration on Watts Bar unit 1, cycle 1," Journal Article, Annals of Nuclear Energy, Accepted/Published February 2021.
  • Pawlowski, Roger P., Eric T. Phipps, Christian Robert Trott, Eric Christopher Cyr, John N. Shadid, "Finite Element Tools for Performance Portability of Implicit and IMEX Simulations for Next Generation Architectures," Presentation, 14th World Congress on Computational Mechanics, January 2021.
  • Pearson, Carl William, Kun Wu, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu, "TEMPI: An Interposed MPI Library with Canonical Representation of MPI Datatypes," Presentation, ACM Symposium on High-Performance Parallel and Distributed Computing in Stockholm, Sweden (virtual), June 2021.
  • Pearson, Carl William, Kun Wu, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu, "TEMPI: An Interposed MPI Library with Canonical Representation of MPI Datatypes," Poster, ACM Symposium on High-Performance Parallel and Distributed Computing in Stockholm, Sweden (Virtual), June 2021.
  • Pedretti, Kevin , "Advanced Tri-Lab Software Environment (ATSE)," Presentation, 2021 ASC PI Meeting, May 2021.
  • Pedretti, Kevin , Ronald B. Brightwell, Andrew J Younge, Jack Lange, "HPC Operating System: Research Areas and Challenges," Presentation, ASCR OS/R Roundtable, January 2021.
  • Peng, Ivy, Abhik Sarkar, David Boehme, Gwendolyn Renae Voskuilen, Rogelio Long, Shirley Moore, Maya Gokhale, "Milestone M6 Report: Reducing Excess Data Movement Part 1," Report, March 2021.
  • Perego, Mauro , "Advances in Modeling the Thermo-Mechanical state of Ice Sheets," Presentation, Coupled Problems 2021, June 2021.
  • Perego, Mauro , Sivasankaran Rajamanickam, Alexander Heinlein, "FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica," Report, January 2021.
  • Perego, Mauro , "Improving Large-Scale PDE-Constrained Optimization for Ice Sheet Initialization," Presentation, SIAM Conference on Computational Science and Engineering, March 2021.
  • Pericoli, Vincente , Melissa Ng, "2021 Sandia Engineering Design Award," Presentation, 2021 Engineering Design Award Info Session in Davis, CA, USA, January 2021.
  • Pericoli, Vincente , "Nonlinear Structural Analysis Seminar--UC Davis," Presentation, Nonlinear Structural Analysis Lecture, Dept. of Civil Engineering, UC Davis in Davis, CA, USA, May 2021.
  • Peterson, Kara J., Warren Leon Davis, Matthew Gregor Peterson, Jeffrey Nichol, Kamaljit Singh Chowdhary, Marta D'Elia, "Advancing Sea Ice Predictability with Machine Learning," White Paper, February 2021.
  • Peterson, Kara J., Dan Stefan Bolintineanu, Adrian Turner, "Conservative Remap and Interpolation for the Discrete Element for Sea Ice Model," Presentation, 14th World Congress on Computational Mechanics, January 2021.
  • Peterson, Matthew Gregor, David John Stracuzzi, Christopher J. Young, Charles Vollmer, Ronald Brogan, "Generating Uncertainty Distributions for Seismic Signal Onset Times," Journal Article, Bulletin of the Seismological Society of America, Accepted/Published February 2021.
  • Phillips, Cynthia A., Michelle Althea Chatter, Jonathan Eckstein, Alper Erturk, Ihab Fathy El-Kady, Romain Gerbe, Drew Philip Kouri, William Loughlin, Charles M. Reinke, Rohith Rokkam, Massimo Ruzzene, Chris Sugino, Calvin Swanson, Bart G van Bloemen Waanders, "Parallel Solver Framework for Mixed-Integer PDE-Constrained Optimization," SAND Report, February 2021.
  • Phillips, Cynthia A., "SIAM Minisymposium on Supporting Workforce Preparation with Mathematical Modeling: Panelist Introduction," Presentation, Joint Mathematics Meeting Virtual, January 2021.
  • Phipps, Eric T., Nicholas T. Johnson, Tamara G. Kolda, "Generalized Canonical Polyadic Tensor Decompositions for Streaming Data," Presentation, SIAM CSE21 in Fort Worth, TX, USA, March 2021.
  • Phipps, Eric T., Nick Johnson, Tamara Kolda, "STREAMING GENERALIZED CANONICAL POLYADIC TENSOR DECOMPOSITIONS," Report, September 2021.
  • Pinar, Ali , "Abstract and Bio for Ali Pinar's Talk," Abstract, Inter Agency Talk, May 2021.
  • Pinar, Ali , Thomas D. Tarman, Derek H. Hart, Cynthia K. Veitch, "Cyber experimentation to inform decisions about high consequence systems," Presentation, Customer Visit, June 2021.
  • Pinar, Ali , "Rigorous Cyber Experimentation for Science of Security," Presentation, Lab Research Technical Exchange, May 2021.
  • Pinar, Ali , "SECURE Advisory Board Meeting," Presentation, SECURE Advisory Board Meeting, September 2021.
  • Pinar, Ali , "SECURE: Science and Engineering of Cyber security by Uncertainty quantification and Rigorous Experimentation," Presentation, MILCOM 2021, December 2021.
  • Plagge, Mark , Craig Michael Vineyard, William Mark Severa, "Analyzing Efficiencies of Algorithm-Architecture Mappings," Abstract, Smoky Mountains Conference in Kingsport, TN, USA, August 2021.
  • Plagge, Mark , Suma George Cardwell, Clayton Hughes, "ATHENA: A High Efficiency Codesign Tool for Novel Accelerators," Abstract, ModSim 2021 in Seattle, WA, USA, May 2021.
  • Plagge, Mark , Suma George Cardwell, Clayton Hughes, "ATHENA: Enabling high speed performance estimates for novel hardware design space exploration," Poster, Modsim 2020, September 2021.
  • Plagge, Mark , Suma George Cardwell, Clayton Hughes, "ATHENA: Enabling high speed performance estimates for novel hardware design space exploration," Presentation, Modsim 2020, September 2021.
  • Plagge, Mark , Arun F. Rodrigues, Sapan Agarwal, Luke Garrison Parker, Suma George Cardwell, Clayton Hughes, "Critical AI/ML Infrastructure for Next Generation Architectures and Applications," SAND Report, September 2021.
  • Plimpton, Steven J., "Additional features and more info," Presentation, ICME 2021 - 6th World Congress on Ingrated Computational Materials Engineering in Lake Tahoe, NV, USA, November 2021.
  • Plimpton, Steven J., "How to modify LAMMPS," Presentation, 7th LAMMPS Workshop and Symposium in Virtual, August 2021.
  • Plimpton, Steven J., "Input scripts and styles," Presentation, ICME 2021 - 6th World Congress on Ingrated Computational Materials Engineering in Lake Tahoe, NV, USA, November 2021.
  • Plimpton, Steven J., Aidan P. Thompson, Mitch Wood, "LAMMPS as a tool in materials modeling workflows," Presentation, TMS 2020 Virtual Annual Meeting & Exhibition, March 2021.
  • Plimpton, Steven J., "MDI with LAMMPS," Presentation, 2021 MolSSI Interoperability Workshop in Blacksburg, VA, USA, June 2021.
  • Plimpton, Steven J., "PHISH Library," Web Page, http://www.sandia.gov/~sjplimp/phish.html, February 2021.
  • Plimpton, Steven J., "Recent Development in LAMMPS," Presentation, Scienomics Sci Meeting in Virtual, September 2021.
  • Plimpton, Steven J., "Thoughts on software for science," Presentation, ASCR Workshop on the Science of Scientific Software Development and Use virtual, December 2021.
  • Plimpton, Steven J., "Welcome to the LAMMPS Tutorial," Presentation, ICME 2021-6th World Congress on Ingrated Computational Materials Engineering in Lake Tahoe, NV,USA, November 2021.
  • Poliakoff, David, "Kokkos Tools," Presentation, JOWOG, February 2021.
  • Poliakoff, David Zoeller, "Kokkos Tools," Presentation, JOWOG 34 ACS, February 2021.
  • Poliakoff, David Zoeller, "Kokkos Tools," Presentation, CEA Meeting In Virtual, September 2021.
  • Poliakoff, David Zoeller, Simon David Hammond, Cannada Lewis, "Kokkos Tools for Productive Development," Presentation, ASC PI Meeting in Albuquerque, NM, USA, May 2021.
  • Poliakoff, David Zoeller, Amy Jo Powell, Jonathan Madsen, Christian Robert Trott, "Kokkos Tools Update," Presentation, ECP Annual Meeting 2021, April 2021.
  • Pollard, Samuel Douglas, Ariel Eileen Kellison, John Matthew Bender, Heidi K. Thornquist, Geoffrey Compton Hulette, "Real(istic) Specifications of Software," Conference Paper, 2021 Workshop on the Science of Scientific-Software Development and Use in Virtual, December 2021.
  • Porter, Nathan Wayne, Kathryn Anne Maupin, Laura Painton Swiler, Vincent Andrew Mousseau, "Validation Metrics for Fixed Effects and Mixed-Effects Calibration," Journal Article, Journal of Verification, Validation and Uncertainty Quantification, Accepted/Published January 2021.
  • Portone, Teresa , Laura Painton Swiler, Gianluca Geraci, Michael S. Eldred, "Application of Multifidelity Uncertainty Quantification Methods to a Subsurface Transport Model," Presentation, SIAM Conference on Computational Science and Engineering, March 2021.
  • Portone, Teresa , Michael S. Eldred, Gianluca Geraci, Laura Painton Swiler, "Application of multifidelity UQ approaches to a subsurface transport model," Abstract, SIAM CSE 2021 in Fort Worth, TX, USA, March 2021.
  • Portone, Teresa , "Computing bulk permeabilities for Task F Reference Case," Presentation, DECOVALEX D-2023 WS#4, November 2021.
  • Portone, Teresa , Laura Painton Swiler, Mariah Lee Smith, "Effects of Fracture Transmissivity Relationship on Repository Performance Characteristics," Abstract, 2021 AGU Fall Meeting in New Orleans, LA, USA, December 2021.
  • Portone, Teresa , "Fracture statistics and integration into computational models," Presentation, Crystalline Club 4th Meeting, June 2021.
  • Portone, Teresa , Erin Acquesta, Raj Dandekar, Chris Rackauckas, "Learning Missing Mechanisms in a Dynamical System from a Subset of State Variable Observations," Presentation, 16th U.S. National Congress on Computational Mechanics, July 2021.
  • Portone, Teresa , Erin Acquesta, Ahmad Rushdi, Raj Dandekar, Christopher Rackauckas, "Learning missing mechanisms in a dynamical system from a subset of state variable observations," Abstract, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, January 2021.
  • Portone, Teresa , "Multifidelity modeling for uncertainty assessment," Presentation, 2021 SFWD Annual. Meeting, May 2021.
  • Prasadan, Arvind , "Sketching Algorithms in Distributed Systems," Report, October 2021.
  • Preece, Dale, Stewart A. Silling, Ali Bhuiyan, Mick C. Lownds, "Blast Heave Modeling with GEM (Geologic Element Motion)," Journal Article, Blasting and Fragmentation, Accepted/Published February 2021.
  • Proctor, Camron , Steven Wiryadinata, "Disaggregation of Vehicle Choice Modeling: Capturing Potential Spillover Effects in the LDV and HDV Markets," Poster, Transportation Research Board, January 2021.
  • Proctor, Timothy James, "Learning the Capabilities of Quantum Computers," Presentation, Sandia MLDL Workshop, July 2021.
  • Qin, Eric, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Dipankar Das, Gordon Moon, Sivasankaran Rajamanickam, Tushar Krishna, "Extending Sparse Tensor Accelerators to Support Multiple Compression Formats," Conference Paper, 35th IEEE International Parallel & Distributing Processing Symposium, May 2021.
  • Quynn, Sophie , "Identifying behaviors in executable binaries with Deep Learning," Presentation, UC Davis Women in Computer Science Tech Talks with Sandia National Labs, November 2021.
  • Rackers, Joshua , Roseane Silva, Zhi Wang, Jay Ponder, "A Polarizable Water Potential Derived from a Model Electron Density," Journal Article, Journal of Chemical Theory and Computation, Accepted/Published October 2021.
  • Rackers, Joshua , "Combining physics and AI for quantum-accurate simulations of biological molecules," Presentation, University of New Mexico Chemical and Biological Engineering Fall Seminar in Albuquerque, NM, USA, November 2021.
  • Rackers, Joshua , Alex Jemyung Lee, "Machine learning to build quantum-accurate models for biological macromolecules," Presentation, NM Partnership Schools LDRD Poster Session, September 2021.
  • Rackers, Joshua , "What can machine learning teach us about the limits of electron correlation," Presentation, Non-Covelant Interactions in Large Molocules and Extended Materials, August 2021.
  • Rackers, Joshua , "What can you do with a polarizable force field?," Presentation, LAMMPS Workshop and Symposium, August 2021.
  • Radue, Matthew, Sungha Baek, Azadeh Farzaneh, K. G. Dwyer, Quinn Campbell, Andrew David Baczewski, Ezra Bussmann, George T. Wang, Yifei Mo, Shashank Misra, R. E. Butera, "AICI3-Dosed Si(100)-2x1: Adsorbates, Chlorinated AI Chains, and Incorporated AI," Journal Article, Journal of Physical Chemistry C, Accepted/Published August 2021.
  • Rajamanickam, Sivasankaran , "Can Scientific Software Development Use the Outsourcing Model Successfully," Conference Paper, Workshop on the Science of Scientific-Software Development and Use, December 2021.
  • Rajamanickam, Sivasankaran , "Convergence of Special Purpose Accelerators and Traditional High Performance Computing," Presentation, The HEC Interagency Working Group (IWG), February 2021.
  • Rajamanickam, Sivasankaran , "Enabling Science Simulations with Scalable Computational Frameworks in Scientific Computing," Presentation, Alphabet X, October 2021.
  • Rajamanickam, Sivasankaran , Luc Berger-Vergiat, Vinh Quang Dang, Nathan David Ellingwood, Evan Charles Harvey, Brian Michael Kelley, Christian Robert Trott, "Kokkos Kernels 3.4," Presentation, ECP All-PI meeting, July 2021.
  • Rajamanickam, Sivasankaran , "Portability in Trilinos," Presentation, FASTMath All hands, October 2021.
  • Rajamanickam, Sivasankaran , Luc Berger-Vergiat, Erik Gunnar Boman, Ichitaro Yamazaki, "Sake: Solvers and Kernels for Exascale," Presentation, ECP Annual Meeting in Virtual, April 2021.
  • Rajamanickam, Sivasankaran , Alexander Heinlein, Heidi K. Thornquist, Ichitaro Yamazaki, "Trilinos User Group Meeting; Solvers Update," Presentation, Trilinos Users Group (TUG21), November 2021.
  • Rajamanickam, Sivasankaran , Tushar Krishna, Simon David Hammond, "Vision for Co-designing a Unified-Memory Centric Heterogeneous Node Architecture," Conference Paper, ASCR Workshop on Reimaging and Codesign, March 2021.
  • Rawlings, Edna Soraya, Michael Lee Bynum, Carl Damon Laird, Bethany L. Nicholson, David L. Woodruff, Jean-Paul Watson, "Parallel Solution of Alternating Current Optimal Power Flow Problems Using Parapint," Abstract, INFORMS in Anaheim, CA, USA, October 2021.
  • Ray, Jaideep , Matthew F. Barone, Stefan P. Domino, "Assembling Training Datasets for Genderalizable Machine-Learned Models of Physical Phenomena," Presentation, Artificial Intelligence for Robust Engineering and Science Virtual (organized by ORNL), January 2021.
  • Ray, Jaideep , Matthew F. Barone, Stefan P. Domino, "Assembling training datasets for generalizable machine-learned turbulence models," Presentation, Sandia MD/DL Workshop in Albuquerque, NM, USA, July 2021.
  • Ray, Jaideep , Matthew F. Barone, Stefan P. Domino, "Assembling Training Datasets for Genralizable Machine-Learned Models of Physical Phenomena," Presentation, Artificial Intelligence for Robust Engineering and Science Virtual (organized by ORNL), January 2021.
  • Ray, Jaideep , Patrick Joseph Blonigan, Cosmin Safta, Khachik Sargsyan, "Characterization of Partially Observed Epidemics Through Bayesian Inference-Application to COVID-19 Forecasts," Presentation, Virtual COVID-19 Summit, January 2021.
  • Ray, Jaideep , Patrick Joseph Blonigan, Cosmin Safta, Khachik Sargsyan, "Characterization of Partially Observed Epidemics Through Bayesian Inference-Application to COVID-19 Forecasts," Presentation, Virtual COVID-19 Summit, January 2021.
  • Ray, Jaideep , Matthew F. Barone, Stefan P. Domino, Tania Banerjee, Sanjay Ranka, "Verification of Data-Driven Models of Physical Phenomena using Interpretable Approximation," SAND Report, September 2021.
  • Reddie, Andrew William, "Wargames as Data: Addressing the Wargamer's Trilemma," Presentation, 89th MORS Symposium, May 2021.
  • Reese, William Mcneil, Joseph Lee Hart, Bart G van Bloemen Waanders, Mauro Perego, John Davis Jakeman, Arvind Saibaba, "Bedrock Inversion and Hyper Differential Sensitivity Analysis for the Shallow Ice Model," Presentation, Numerical Analysis in Data Science Transition Workshop, May 2021.
  • Reinhardt, Jason Christian, Benjamin Bonin, "Pragmatic Decision Support Tools for Cyber Consequence and Risk Analysis," Presentation, Society for Risk Analysis Europe 2021 Virtual Meeting in Espoo, , Finland, June 2021.
  • Reinhardt, Jason Christian, "Thoughts on Risk Analysis Methods and Deterrence," Presentation, Committe on Risk Analysis Methods for Nuclear War and Nuclear Terrorism, May 2021.
  • Reuter, Bryan William, Todd Oliver, Robert Moser, "Robust, segregated time integration for direct numerical simulation of low-Mach, variable-density flows," Presentation, APS DFD 2021, November 2021.
  • Ribeill, Guilhem, Matthew Ware, Luke Govia, Kenneth Michael Rudinger, Timothy James Proctor, Thomas Okhi, "Characterizing mid-circuit measurements with a new form of gate set tomography Part 2: Experiment," Presentation, American Physical Society March Meeting, March 2021.
  • Rider, William J., Paul Crozier, Jack Paris Kramer, James R. Stewart, "MULTI-PHYSICS FOR NATIONAL SECURITY," Report, February 2021.
  • Rider, William J., "V&V Adjacent Activities," Presentation, ASME Verification and Validation Symposium in Virtual, May 2021.
  • Rider, William J., "V&V Adjacent Activities, or How People Avoid Doing Quality V&V," Abstract, ASME V&V Symposium in Albuquerque, NM, USA, May 2021.
  • Ridzal, Denis , Michael Lee Bynum, Eric Christopher Cyr, Jordan Heath Jalving, Drew Philip Kouri, Bethany L. Nicholson, John Daniel Siirola, Gregory John von Winckel, "Distributed in time techniques for optimization at extreme scales," SAND Report, October 2021.
  • Rintoul, Mark Daniel , "Geospatial-Temporal Semantic Graphs for Image Analytics," Presentation, National Labs Technical Research Exchange in Albuquerque, NM, USA, March 2021.
  • Rintoul, Mark Daniel , "Geospatial-Temporal Semantic Graphs for Remote Sensing Data Analysis," Abstract, Lab Research Technical Exchange in Albuquerque, NM, USA, March 2021.
  • Rintoul, Mark Daniel , Jessica Lee Jones, Benjamin David Newton, Kyra Lynn Wisniewski, Andrew T. Wilson, Melissa J. Ginaldi, Cleveland Alexander Waddell, Kenneth Goss, Katrina Johanna Ward, "Large-Scale Trajectory Analysis via Feature Vectors," Report, March 2021.
  • Rintoul, Mark Daniel , Kyra Lynn Wisniewski, Katrina Johanna Ward, Kanad Khanna, "TAFI/Kebab End of Project Report," Report, April 2021.
  • Rizzi, Francesco NMN, Eric Joshua Parish, Patrick Joseph Blonigan, John Tencer, "A COMPUTE-BOUND FORMULATION OF GALERKIN MODEL REDUCTION FOR LINEAR TIME-INVARIANT DYNAMICAL SYSTEMS," Journal Article, Computer Methods for Applied Mechanics and Engineering, Accepted/Published June 2021.
  • Robbins, Joshua , Miguel Alejandro Aguilo Valentin, "Algorithms Developed and Implemented in the Plato Software for Optimization-based Design for Manufacturing," SAND Report, September 2021.
  • Robbins, Joshua , Ryan Alberdi, Brett W. Clark, "Concurrent Shape and Topology Optimizations," SAND Report, September 2021.
  • Robbins, Joshua , "Optimization-based design for additive manufacturing," Presentation, May 2021.
  • Robbins, Joshua , Miguel Alejandro Aguilo Valentin, Ryan Alberdi, Brett W. Clark, Bradley Jared, Scott Craig Jensen, Kyle Johnson, Ryan Viertel, "Optimization-based Design for Manufacturing," SAND Report, October 2021.
  • Robbins, Joshua , "Topology Optimization with a Manufacturability Objective," SAND Report, October 2021.
  • Roberts, Nathan V., "A Time-Marching DPG Approach for the Vlasov-Poisson Equations," Abstract, SIAM CSE 2021 in Fort Worth, TX, USA, March 2021.
  • Roberts, Nathan V., Mauro Perego, "Exploiting Tensor-Product Structure in High-Order Finite Elements on Next-Generation Architectures," Abstract, USNCCM in Chicago, IL, USA, July 2021.
  • Roberts, Nathan V., Mauro Perego, "Exploiting Tensor-Product Structure in High-Order Finite Elements on Next-Generation Architectures," Presentation, USNCCM 16 in Chicago, IL, USA, July 2021.
  • Roberts, Nathan V., Sean Miller, "Machine Learning for Accelerating Direct-Simulation Monte-Carlo Collision Operators," Abstract, Machine Learning and Deep Learning Conference 2021, June 2021.
  • Roberts, Nathan V., Sean Miller, "Machine Learning for Accelerating Direct-Simulation Monte-Carlo Collision Operators," Presentation, : MLDL Workshop in Albuquerque, NM, United States, July 2021.
  • Roberts, Nathan V., Sean Miller, Eric Christopher Cyr, Stefan Henneking, "Residual-Minimizing Approaches for Transient Problems on Next-Generation Computing Architectures," Presentation, World Congress on Computation Mechanics in Paris, France, January 2021.
  • Roberts, Nathan V., Sean Miller, Eric Christopher Cyr, "Time-Marching DPG Approach for the Vlasov-Poisson Equations," Presentation, SIAM CSE21, March 2021.
  • Robinson, Allen C., Richard R. Drake, Matthew Scot Swan, Nichelle Lee Bennett, Thomas M. Smith, Russell Hooper, George Russell Laity, "A software environment for effective reliability management for pulsed power design," Journal Article, Reliability Engineering & System Safety, Vol. 211, Article No. 107580, Accepted/Published July 2021.
  • Robinson, Brandon, Philippe Bisaillon, Rimple Sandhu, Mohammad Khalil, Chris Pettit, Dominique Poirel, Abhijit Sarkar, "Nonlinear sparse Bayesian learning using EnKF based state estimator," Presentation, Ensemble Kalman Filter Workshop, June 2021.
  • Robinson, Brian, Alina Kononov, Andrea Schleife, Andrew David Baczewski, Stephanie B. Hansen, "Benchmarking Conductivities from Average Atom Methods to Density Functional Theory for Warm Dense Matter," Abstract, 63rd Annual Meeting of the APS Division of Plasma Physics in Pittsburgh, PA, USA, July 2021.
  • Rodrigues, Arun F., Simon David Hammond, Karl Scott Hemmert, Clayton Hughes, Joseph P. Kenny, Gwendolyn Renae Voskuilen, "A-SST Initial Specification," SAND Report, October 2021.
  • Rodrigues, Arun F., Amro Awad, Clayton Hughes, Sapan Agarwal, Michael Skoufis, Gwendolyn Renae Voskuilen, Shubham Nema, Rohin Razdan, Alan Gardner, Karl Scott Hemmert, Simon David Hammond, "SST-Explorer: Enabling System-level Performance and Reliability Analysis for Designs with Real-World IPs," Poster, ModSim 2021 Workshop on Modeling and Simulation of Systems and Applications, October 2021.
  • Rodrigues, Arun F., Amro Awad, Clayton Hughes, Sapan Agarwal, Michael Skoufis, Gwendolyn Renae Voskuilen, Shubham Nema, Rohin Razdan, Alan Gardner, Karl Scott Hemmert, Simon David Hammond, "SST-Explorer: Enabling System-level Performance and Reliability Analysis for Designs with Real-World IPs," Presentation, ModSim 2021, October 2021.
  • Rothganger, Fredrick , Asmeret Bier Naugle, Stephen Joseph Verzi, "Behavioral Feedback in Disease Dynamics," Presentation, COVID-19 Summit 2 Virtual, January 2021.
  • Rothganger, Fredrick , "N2A: a language and software tool for large-scale modeling," Poster, Society for Neuroscience 2021, November 2021.
  • Rudinger, Kenneth Michael, Timothy James Proctor, Erik Nielsen, Guilhem Ribeill, Matthew Ware, Luke Govia, Thomas Ohki, Kevin Young, Robin J Blume-Kohout, "Characterizing mid-circuit measurements with a new form of gate set tomography Part 1: Theory," Presentation, American Physical Society March Meeting, March 2021.
  • Rushdi, Ahmad , Erin Acquesta, "Credibility in Scientific Machine Learning: Data Verification and Model Qualification," Newsletter, June 2021.
  • Rushdi, Ahmad , "Efficient DNN Architectures for Time Series Classification," Presentation, Sandia MLDL Workshop in Albuquerque, NM, US, July 2021.
  • Russo, Antonio , Kenneth Michael Rudinger, Benjamin Morrison, Andrew David Baczewski, "Evaluating energy differences on a quantum computer with robust phase estimation," Presentation, American Physical Society March Meeting, March 2021.
  • Rutkowski, Joshua Edward, Zoe Nellie Gastelum, Timothy Shead, Ahmad Rushdi, Jason C. Bolles, Arielle Mattes, "Safeguards-Informed Hybrid Imagery Dataset," Poster, Nuclear Security Applications Research & Development Program Review Meeting in Virtual, April 2021.
  • Ruzic, Brandon , Kevin Young, Tzvetan S. Metodi, "Characterization and Optimization of Building Blocks for Specialized Computing Platforms," SAND Report, October 2021.
  • Safta, Cosmin , Jaideep Ray, Y-T Lin, J. Neumann, Emily S. Miller, R. Posner, A. Mallela, G. Thakur, S. Chinthavali, W. Hlavacek, "Daily Forecasting of New Cases of Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification," Journal Article, Emerging Infectious Diseases, Submitted January 2021.
  • Safta, Cosmin , Patrick Joseph Blonigan, Jaideep Ray, "Forecasting multi-wave epidemics through Bayesian Inference-Application to COVID-19," Presentation, Workshop on Modeling and Simulation of Infectious Diseases Online, January 2021.
  • Safta, Cosmin , Oscar Homero Diaz-Ibarra, Kyungjoo Kim, Habib N. Najm, "Tchem: An open source Computational Chemistry Software Library for Heterogeneous Computing Platforms," Presentation, 12th US National Congress Combustion Meeting in College Station, TX ,USA, May 2021.
  • Safta, Cosmin , "Uncertainty Quantification for a Turbulent Round Jet Using Multifidelity Karhunen-Loeve Expansions," Conference Paper, 2021 AIAA SciTech Forum (virtual), January 2021.
  • Sarovar, Mohan , "Manifold learning via quantum dynamics," Presentation, Sandia MLDL Workshop, July 2021.
  • Sarovar, Mohan , "Quantum control: theory and practice," Presentation, Los Alamos National Lab Quantum Computing Summer School Virtual, June 2021.
  • Sarovar, Mohan , Akshat Kumar, "Quantum manifold learning," SAND Report, September 2021.
  • Sarovar, Mohan , Akshat Kumar, "Quantum-inspired manifold learning," Abstract, Quantum Techniques in Machine Learning in Virtual, November 2021.
  • Sarovar, Mohan , "Quantum-inspired manifold learning," Presentation, Quantum Techniques in Machine Learning in virtual, November 2021.
  • Sarovar, Mohan , "Quantum-inspired manifold learning and feedback-based quantum optimization," Presentation, Seminar at the Okinawa Institute for Science and Technology in Okinawa, , Japan, December 2021.
  • Schmidt, Michael John, "Recent advances in mass-transfer particle tracking methods for Lagrangian modeling of reactive transport," Presentation, Sandia Postdoctoral Development Seminar in Albuquerque, NM, USA, May 2021.
  • Schultz, Peter A., "Modeling charged defects and defect levels in semiconductors and oxides with density functional theory? An improved, inside-out perspective," Abstract, Theoretical Physics Group Seminar Linkoping University in Linkoping, Sweden (ONLINE-Zoom), May 2021.
  • Schultz, Peter A., "Modeling charged defects and defect levels in semiconductors and oxides with density functional theory? An Improved, inside-out perspective," Presentation, Theoretical Physic Group Seminar Linkoping University in Linkoping, Sweden, (ONLINE Zoom-meeting), May 2021.
  • Schultz, Peter A., Arthur H Edwards, Andrew C Pineda, Renee M Van Ginhoven, Richard Dobzynski, "Predictions for Yellow Luminescence in Cubic GaN Under Pressure," Abstract, American Physical Society March Meeting 2021 (Online), March 2021.
  • Schultz, Peter A., Renee M. Van Ginhoven, Arthur H. Edwards, "The mystery of the missing neutral Si vacancy in 3C-SiC resolved," Presentation, APS March Meeting 2021, March 2021.
  • Schultz, Peter A., Renee M Van Ginhoven, Arthur H Edwards, "The mystery of the missing neutral Si vacancy in 3C-SiC solved," Abstract, American Physical Society March Meeting 2021 (Online), March 2021.
  • Schultz, Peter A., Renee M. Van Ginhoven, Arthur H. Edwards, "Theoretical Study of Intrinsic Defects in Cubic Silicon Carbide, 3C-SiC," Journal Article, Physical Review B, Accepted/Published May 2021.
  • Schultz, Peter A., Renee M. Ginhoven, Arthur H. Edwards, "Theory for intrinsic point defects in 3C-SiC reassessed using converged large-supercell calculations," Presentation, 63rd Electronic Materials Conference (VIRTUAL/ONLINE), June 2021.
  • Schultz, Peter A., Rene M. Van Ginhoven, Arthur H. Edwards, "Theory for intrinsic point defects in 3C-SiC reassessed using converged large-supercell calculations," Presentation, 63rd Electronic Materials Conference (Online), June 2021.
  • Schultz, Peter A., Renee M Ginhoven, Arthur H Edwards, "Theory for intrinsic point defects in 3C-SiC reassessed using converged large-supercell calculations," Abstract, 63rd Electronic Materials Confernce (EMC) Online, June 2021.
  • Seritan, Stefan , Craig D. Ulmer, "Benchmarking the NVIDIA A100 Graphics Processing Unit for High-Performance Computing and Data Analytics Workloads," SAND Report, February 2021.
  • Severa, William Mark, "AI Ecosystem for the Edge," Presentation, AI & Quantum Computing Symposium in Columbia/Virtual, MD, USA, October 2021.
  • Shadid, John N., "On the performance of Krylov smoothing for fully coupled AMG preconditions for VMS resistive MHD," Journal Article, International Journal of Numerical Methods in Engineering, Accepted/Published February 2021.
  • Shaffer, Ryan , Lucas Kocia, Philippe Hawi, Roger Ghanem, Mohan Sarovar, "Statistical Learning Techniques for Variational Quantum Algorithms," Poster, QISE-NET Virtual Meeting, June 2021.
  • Shead, Timothy , Zoe Nellie Gastelum, Ahmad Rushdi, "Synthetic Images for Machine Learning," Presentation, CGI for Science Workshop in Albuquerque, NM, United States, June 2021.
  • Siefert, Christopher , "A Cut-Based Coarsening Algorithm for Smoothed Aggregation Algebraic Multigrid," Presentation, SIAM CSE21 in Fort Worth, TX, USA, March 2021.
  • Siefert, Christopher , Raymond S. Tuminaro, Christian Alexander Glusa, John Kaushagen, "Multilevel Methods for Maxwell's Equations," Presentation, SIAM Conference on Applied Linear Algebra (LA21) in New Orleans, LA, USA, May 2021.
  • Silling, Stewart A., "Attenuation of waves in viscoelastic perdynamic medium," Journal Article, Mathematics and Mechanics of Solids, Accepted/Published February 2021.
  • Silling, Stewart A., "Calibrating a Peridynamic Material Model with Molecular Dynamics," Abstract, International Mechanical Engineering Congress & Exposition (IMECE 2021) in virtual only, July 2021.
  • Silling, Stewart A., "Calibrating a Peridynamic Material Model with Molecular Dynamics," Presentation, August 2021.
  • Silling, Stewart A., Marta D'Elia, Yue Yu, Huaiqian You, Muge Fermen-Coker, "Coarse-grained peridynamic model for graphene," Abstract, SIAM Conference on Mathematical Aspects of Materials Science (Virtual), March 2021.
  • Silling, Stewart A., David Newsome, Rae Waxman, Andreas Hoffie, Debasis Sengupta, Ashok Raman, "Integrated Fluid and Materials Modeling of Environmental Barrier Coatings," Abstract, AIAA Scitech Forum In Nashville, TN, USA, January 2021.
  • Silling, Stewart A., David Newsome, Rae Waxman, Andreas Hoffie, Debasis Sengupta, Raman Ashok, "Integrated Fluid and Materials Modeling of Environmental Coatings," Conference Paper, AIAA Scitech Forum (virtual), January 2021.
  • Silling, Stewart A., John A. Mitchell, "Modeling Spall in Additively Manufactured Steel with Local-Nonlocal Coupling," Abstract, United States National Congress on Computational Mechanics in Chicago, IL, USA, July 2021.
  • Silling, Stewart A., David Newsome, Rae Waxman, Stephen Giles, Debasis Sengupta, Ashok Raman, "Multi-scale Physics-based Modeling of Particle-Impact Erosion of CMCs," Presentation, AIAA Scitech Forum (virtual), January 2021.
  • Silling, Stewart A., David Newsome, Rae Waxman, Stephen Giles, "Multi-scale Physics-based Modeling of Particle-Impact Erosion of CMCs," Conference Paper, AIAA Scitech Forum (virtual), January 2021.
  • Silling, Stewart A., David Newsome, Rae Waxman, Stephen Giles, Debasis Sengupta, Ashok Raman, "Multi-scale Physics-based Modeling of Particle-Impact Erosion of CMCs," Abstract, AIAA Scitech Forum In Nashville, TN, USA, January 2021.
  • Silling, Stewart A., "Origins and uses of nonlocality in mechanics," Presentation, The 50th John H. Barrett Memorial Lectures (Virtual), May 2021.
  • Silling, Stewart A., Muge Fermen-Coker, "Peridynamic model for graphene derived from molecular dynamics," Abstract, SIAM CSE 2021 in Fort Worth, TX, USA, March 2021.
  • Silling, Stewart A., Muge Fermen-Coker, "Peridynamic Model for Microballistic Perforation of Multilayer Graphene," Journal Article, Theoretical and Applied Fracture Mechanics, Accepted/Published March 2021.
  • Silling, Stewart A., Muge Fermen-Coker, "Peridynamic Modeling of Microballistic Impact on Multilayer Graphene," Presentation, Engineering Mechanics Institute Conference 2021 (Virtual), May 2021.
  • Silling, Stewart A., "Special journal issue on nonlocal codes," Presentation, One Nonlocal World Code Event in virtual only, December 2021.
  • Singh, Shikha, Prashant Pandey, Michael Bender, Jonathan W. Berry, Martin Farach-Colton, Rob Johnson, Thomas M Kroeger, Cynthia A. Phillips, "Timely Reporting of Heavy Hitters using External Memory," Journal Article, ACM Transactions on Database Systems, Accepted/Published October 2021.
  • Skulborstad, Alyssa Jennifer, "Sensitivity Analysis of Fiber Reinforced Polymer Composite Damage Criteria: Cooling Induced Residual Stress," Presentation, WCCM-ECCOMAS Virtual Congress, January 2021.
  • Smith, Conor, Tameem Albash, Quinn Campbell, Andrew David Baczewski, "Neural Network Quantum Simulation," Presentation, SNL/UNM Academic Virtual Poster Session in Albuquerque, NM, USA, September 2021.
  • Smith, John Darby, William Mark Severa, Richard B. Lehoucq, James Bradley Aimone, "Analysis and Use of Neuromorphic Stochastic Trajectories," Report, September 2021.
  • Smith, John Darby, James Bradley Aimone, William Mark Severa, Richard B. Lehoucq, "Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling," Presentation, International Conference on Rebooting Computing in virtual, November 2021.
  • Smith, John Darby, William Mark Severa, Richard B. Lehoucq, James Bradley Aimone, "Learning to Solve an Inverse Problem Using Neuromorphic Data Generation," Abstract, Smoky Mountains Conference in Kingsport, TN, USA, August 2021.
  • Smith, John Darby, "Neural-Inspired Computation for Scientific Computing," Presentation, Berry College Mathematics and Computer Science Seminar (Virtual) in Rome, GA, USA, April 2021.
  • Smith, Thomas M., Keith Cartwright, Nathaniel Donald Hamlin, Kristian Beckwith, Nicholas Roberds, Sarah Elizabeth Miller, "Using Diode Simulations to Verify Plasma Physics Codes," Presentation, The 48th IEEE International Conference on Plasma Science in Lake Tahoe, NV, USA, September 2021.
  • Smith, Thomas M., Keith Cartwright, "USING DIODE SIMULATONS TO VERIFY OF PLASMA PHYSICS CODES," Abstract, The 48th IEEE International Conference on Plasma Science in Lake Tahoe, CA, USA, June 2021.
  • Smith, Zachary J., Michael Christopher Darling, David John Stracuzzi, Justin E Doak, Mark A. Smith, J. Eric Bickel, "Optimizing Machine Learning Predictions with Prediction Uncertainty," Poster, Sandia Academic Alliance/ UT Austin Student LDRD Poster Session in Virtual,, April 2021.
  • Sockwell, Kenneth Chadwick, Paul Allen Kuberry, James Derek Tucker, Pavel B. Bochev, "Automated Discovery of DOminaNt physics Informed Surrogates (ADDONIS)Framework," Presentation, Artificial intelligence for Earth System Prediction in virtual, October 2021.
  • Sockwell, Kenneth Chadwick, Kara J. Peterson, Pavel B. Bochev, Paul Allen Kuberry, "Bulk-Interface-Flux-Recovery (Bulk-IFR) Methond for Coupling the Atmosphere-Ocean Interface," Presentation, WCCM-ECCOMAS CONGRESS (virtual), January 2021.
  • Sockwell, Kenneth Chadwick, Mauro Perego, "Implementing Calving Laws in Ice-Sheet Models using Level Set Methods," Presentation, SIAM Computional Science and Engineering in Fort Worth, TX, USA, Virtual, March 2021.
  • Sockwell, Kenneth Chadwick, Pavel B. Bochev, Kara J. Peterson, Paul Allen Kuberry, "The Interface-Flux-Recovery (IFR) Method for Conservative and Stable Coupling Schemesin Geophysical Fluids and Mechanics," Presentation, Coupled Problems in chai Luguna, Italy, June 2021.
  • Song, Xiaoyu, Stewart A. Silling, "On the peridynamic effective force state and multiphase constitutive correspondence principle," Journal Article, Journal of the Mechanics and Physics of Solids, Accepted/Published March 2021.
  • Speed, Ann , Jason W. Wheeler, John L. Russell, Danielle Nicole Sanchez, Austin Ray Silva, Anna Camille Carey Chavez, "CHARACTERIZING HUMAN PERFORMANCE: DETECTING TARGETS AT HIGH FALSE ALARM RATES," Conference Paper, International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA 2021) in Columbus, OH, United States, August 2021.
  • Speed, Ann , Jason W. Wheeler, John L. Russell, Frederick J. Oppel, Danielle Nicole Sanchez, Austin Ray Silva, Anna Chavez, "Characterizing Human Performance: Detecting targets at high false alarm rates," Presentation, 2021 International Topical Meeting on Probabilistic Safety Assessment and Analysis (virtual), November 2021.
  • Staid, Andrea , "Advanced Methods for using Probabilistic Information for Extreme Event Assessments," Conference Paper, 2021 IEEE PES General Meeting, July 2021.
  • Staid, Andrea , Elizabeth Scott Fleming Lindsley, Thushara Gunda, Nicole Danielle Jackson, "Critical Infrastructure Decision-Making under Long-Term Climate Hazard Uncertainty: The Need for an Integrated Multidisciplinary Approach," Report, September 2021.
  • Staid, Andrea , "North American Energy Resilience Model (NAERM)," Presentation, CIS External Review, March 2021.
  • Stamber, Kevin L., Walter E. Beyeler, Andjelka Kelic, Robert A. Taylor, "Modeling of Natural Gas Networks for Consequence Analysis," Presentation, 39th International System Dynamics Conference in Chicago, IL, USA, July 2021.
  • Stender, Michael , Lauren L. Beghini, Christopher W. San Marchi, Zahra Ghanbari, Kyle N. Karlson, Carl Frank Herriott, Scott Howard Smith, "Integrating Modeling and Experiments to Elucidate the Near Melt Behavior of 304L Stainless Steel for Additive Manufacturing Applications," Presentation, WCCM-ECCOMAS Virtual Congress, January 2021.
  • Stershic, Andrew Joseph, Kyle N. Karlson, Sharlotte LorraineBolyard Kramer, Brandon Talamini, "Calibration and Validation of Regularized Failure Models Applied to Dynamic Puncture," Presentation, 16th US National Congress on Computational Mechanics (UNSCCM) in Chicago, Illinois, USA, July 2021.
  • Stershic, Andrew Joseph, Brandon Talamini, Kyle N. Karlson, Sharlotte LorraineBolyard Kramer, Jakob Ostien, "Ductile Failure Simulation in SIERRA with Cohesive Phase Field Formulation," Presentation, WCCM-ECCOMAS Virtual Congress, January 2021.
  • Stewart, James R., "Meeting the Challenges of Modeling & Simulation at Exascale," Presentation, 16th U.S. National Congress on Computational Mechanics, July 2021.
  • Stewart, James R., "Meeting the Challenges of Modeling and Simulation in Exascale," Abstract, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, July 2021.
  • Stewart, Nathan Andrew, Matthew John Hoffman, Bryan Arguello, "Stochastic Optimization of Power System Dynamics for Grid Resilience Presentation," Presentation, HICSS-54 Virtual Conference in Kauai, HI, USA, January 2021.
  • Steyer, Andrew , Robert J. Kuether, "Connecting functions and nonlinear normal modes for dimension reduction in high-dimensional, conservative structural dynamics models," Abstract, IMAC XL, July 2021.
  • Steyer, Andrew , Robert J. Kuether, "Connecting Functions of Nonlinear Ordinary Differential Equations," Presentation, SIAM Conference on Applications of Dynamical Systems (Virtual), May 2021.
  • Steyer, Andrew , Cassidy Faye Krause, "IMEX vs ETD integrators in nonhydrostatic atmosphere model," Presentation, SIAM Conference on Computational Science and Engineering, March 2021.
  • Stracuzzi, David John, "CIS Trusted AI Strategic Initiative," Presentation, MLDL Conference, July 2021.
  • Stracuzzi, David John, Erick Clint Draayer, "Pattern of Life Behavior Recognition in Seismic Data," Abstract, AISTATS, April 2021.
  • Stracuzzi, David John, "Preliminary Work on a Digital Twin for Cancer Patients," Presentation, Artificial Intelligence for Robust Engineering and Science Virtual, January 2021.
  • Swan, Matthew Scot, David Sirajuddin, Keith Cartwright, Christopher Hudson Moore, "A User Perspective on HPC Challenges and Diagnostics," Presentation, Common Computing Environment Monitoring, Metrics, and Analysis Integration Virtual Meeting in Albuquerque, NM, USA, August 2021.
  • Swiler, Laura Painton , Mamikon Gulian, Ari Louis Frankel, Cosmin Safta, John Davis Jakeman, "Constrained Gaussian Processes: A Survey," Abstract, SIAM CSE 2021 in Fort Worth, TX, USA, March 2021.
  • Swiler, Laura Painton , Andrea Staid, Sarah Newman, Emily Barrett, "Dakota-NAERM Integration," SAND Report, January 2021.
  • Swiler, Laura Painton , "Epistemic Uncertainty: Computation and Usage," Presentation, Virtual Conference on Epistemic Uncertainty in Engineering, University of Liverpool (Virtual Conference), March 2021.
  • Swiler, Laura Painton , "Epistemic Uncertainty: Computation and Usage," Presentation, Virtual Conference on Epistemic Uncertainty in Engineering, March 2021.
  • Swiler, Laura Painton , Dusty Marie Brooks, "GP and PCE surrogate models for estimation of sensitivity indices," Presentation, Spent Fuel and Waste Dispositon Annual Program Meeting (Virtual), May 2021.
  • Swiler, Laura Painton , "Statistical Methods used in the Born Qualified LDRD Project," Presentation, Sandia Seminar Series: 3D Characterization Community of Practice, in Albuquerque, NM, USA, April 2021.
  • Swiler, Laura Painton , "Uncertainty Analysis of a Medical Resource Demand Model," Presentation, COVID-19 Summit 2 Virtual, January 2021.
  • Swiler, Laura Painton , "Uncertainty Quantification (UQ) and Sensitivity Analysis (SA )in GDSA," Presentation, Nuclear Waste Technical Review Board Meeting in virtual, November 2021.
  • Swiler, Laura Painton , "Verification and Validation for Cyber Emulation," Presentation, Cyber Experimentation Science of Security in Virtual workshop, November 2021.
  • Swiler, Laura Painton , "White Paper on Verification and Validation for Cyber Emulation Models," White Paper, September 2021.
  • Tan, Jingye, Kathryn Anne Maupin, Danial Faghihi, "A Bayesian Framework for Validation and Selection of Multiscale Plasticity Models with Quantified Uncertainty," Presentation, US National Congress on Computational Mechanics in Chicago, IL, USA, July 2021.
  • Tan, Jingye, Kathryn Anne Maupin, Danial Faghihi, "A Bayesian Machine Learning Framework for Selection of the Strain Gradient Plasticity Multiscale Model," Presentation, International Mechanical Engineering Congress & Exposition, August 2021.
  • Tan, Jingye, Baoshan Liang, Kathryn Anne Maupin, Danial Faghihi, "A Bayesian Machine Learning Framework for Selection of the Strain Gradient Plasticity Multiscale Model," Presentation, International Mechanical Engineering Congress & Exposition, August 2021.
  • Tan, Jingyye, Titiksha Singh, Danial Faghihi, Kathryn Anne Maupin, "A Bayesian Framework for Validation and Selection of Multiscale Plasticity Models with Quantified Uncertainty," Abstract, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, July 2021.
  • Tan-Torres, Sasha , Lauren L. Beghini, Christopher Reed Dillon, Nicholas D. Francis, Alexander Anthony Hanson, Andrew W. Murphy, "Uncertainty Propagation in a Combined Crash then Burn Scenario," Presentation, WCCM-ECCOMAS Virtual Congress, January 2021.
  • Tang, Houjun, Bing Xie, Suren Byna, Phillip Carns, Quincy Koziol, Sudarsun Kannan, Gerald Fredrick Lofstead, Oral Sarp, "SCTuner: An Auto-tuner Addressing Dynamic I/O Needs on Supercomputer I/O Sub-systems," Conference Paper, 6th International Parallel Data Systems Workshop in St. Louis, MO, USA, November 2021.
  • Taylor, Mark A., "Cloud-resolving Climate Modeling of the Earth's Water Cycle," Poster, ECP Annual Meeting in Virtual, April 2021.
  • Teeter, Corinne Michelle, "Brain-Inspired Computing: Differences Between the Brain and Artificial Neural Networks," Presentation, July 2021.
  • Teeter, Corinne Michelle, "Short Term Plasticity for Artificial Neural Networks," SAND Report, September 2021.
  • Teichert, G. H., Mohammad Khalil, Coleman Alleman, K. Garikipati, Reese E. Jones, "Sensitivity of void mediated failure to geometric design features of porous metals," Presentation, 16th U.S. National Congress on Computational Mechanics in Chicago, Illinois, USA, July 2021.
  • Tezaur, Irina Kalashnikova, Jerry Watkins, Max Lewis Carlson, "Performance-portability of the Albany multi-physics finite element code on the road to exascale," Presentation, Platform for Advanced Scientific Computing Online, July 2021.
  • Tezaur, Irina Kalashnikova, "Projection-Based Reduced Order Models at Sandia National Laboratories," Presentation, 2021 AIAA SciTech Forum (virtual), January 2021.
  • Tezaur, Irina Kalashnikova, "PyAlbany: A Python Wrapper for Albany," Presentation, Albany Weekly Meeting (Online), January 2021.
  • Thompson, Aidan P., "FusMatML End-of-Year Review Summary," Presentation, FES AI/ML Program Review, October 2021.
  • Thompson, Aidan P., "Generalization of SNAP to Arbitrary Machine-Learning Interatomic Potentials in LAMMPS," Presentation, APS March Meeting in Virtual, NM, USA, March 2021.
  • Tomas, Ignacio , John N. Shadid, Michael Meyers Crockatt, Roger P. Pawlowski, Matthias Maier, Jean-Luc Guermond, "Final report of activities for the LDRD-express project #223796 titled: ?Fluid models of charged species transport: numerical methods with mathematically guaranteed properties?, PI: Ignacio Tomas, Co-PI: John Shadid.," SAND Report, September 2021.
  • Tomas, Ignacio , "Numerical schemes for hyperbolic-parabolic systems of conservation laws: compressible Euler and Navier-Stokes," Conference Paper, CAM Seminar, Department of Mathematics, University of Knoxville, Knoxville, TN, USA, November 2021.
  • Tomas, Ignacio , "Numerical schemes for hyperbolic-parabolic systems of conservation laws: compressible Euler and Navier-Stokes," Presentation, Hiring Talk at ORNL, CSM in Oak Ridge, Tennessee, USA, August 2021.
  • Tomas, Ignacio , "Numerical schemes for hyperbolic-parabolic systems of conservation laws: compressible Euler and Navier-Stokes," Presentation, Naval Research Laboratory in Washington DC, District of Columbia, USA, March 2021.
  • Trageser, Jeremy , Pablo Seleson, "Constraints imposed by material stability for an anisotropic peridynamic model," Presentation, SIAM MS 2021, May 2021.
  • Trageser, Jeremy , Pablo Seleson, "Dimensionality reduction in anisotropic peridynamics models," Abstract, Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering, & Technology in San Diego, CA, USA, March 2021.
  • Trageser, Jeremy , John A. Mitchell, Theron Rodgers, "Employing a Bezier curve models for simulating microstructure generation during the addictive manufacturing process to inform microstructure aware material models," Abstract, World Congress on Computation Mechanics 2022, November 2021.
  • Trageser, Jeremy , Reese E. Jones, Jessica Rimsza, Joshua Hogancamp, "Modeling of concrete degradation with peridynamics," Presentation, EMI 2021, April 2021.
  • Tran, Anh , Hoang Tran, "2D microstructure reconstruction for SEM via non-local patch-based image inpainting," Conference Paper, TMS 2021 in Orlando, Florida, USA, March 2021.
  • Tran, Anh , "Gaussian Processes-UQ and optimization for multiscale computational materials design," Presentation, GE Research Seminar (Virtual), May 2021.
  • Tran, Anh , Hoang Tran, "Microstructure reconstruction via non-local patch-based image inpainting," Presentation, TMS 2021 Annual Meeting & Exhibition (TMS2021) in Virtual, March 2021.
  • Tran, Anh , Julien Tranchida, "Multi-fidelity Gaussian process and Bayesian optimization for materials design: Application to ternary random alloys," Presentation, Psi-k Workshop 2021: Machine learning interatomic potentials-Young researcher's tutorial virtual, November 2021.
  • Tran, Anh , Julien Guy Tranchida, Timothy Michael Wildey, Aidan P. Thompson, "Multi-fidelity ML/UQ and Bayesian Optimization for Materials Design: Application to Ternary Random Alloys," Poster, TMS 2021 Annual Meeting & Exhibition (TMS2021) in Virtual, March 2021.
  • Tran, Anh , "Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers," Conference Paper, ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (Virtual), August 2021.
  • Tran, Anh , "Scalable3-BO: Big Data meets HPC - A scalable parallel high-dimensional Bayesian optimization framework on supercomputers," Presentation, ASME IDETC/CIE 2021 in Virtual, August 2021.
  • Tran, Anh , Timothy Michael Wildey, "Solving inverse problems for process-structure linkages using asynchronous parallel Bayesian optimization," Presentation, TMS 2021 Annual Meeting & Exhibition (TMS2021) in Virtual, March 2021.
  • Tran, Anh , Timothy Michael Wildey, "Solving inverse problems for process-structure linkages using asynchronous parallel Bayesian optimization," Conference Paper, TMS 2021 in Orlando, Florida, USA, March 2021.
  • Tran, Anh , Timothy Michael Wildey, "Solving stochastic inverse problems for property-structure linkage using data-consistent inversion and ML," Poster, TMS Annual Meeting 2021 in Orlando, FL, USA, March 2021.
  • Tran, Anh , Timothy Michael Wildey, "Solving stochastic inverse problems for structure-property linkages using data-consistent inversion," Conference Paper, TMS 2021 in Orlando, Florida, USA, March 2021.
  • Tran, Anh , Michael S. Eldred, Scott McCann, Yan Wang, "srMO-BO-3GP: A sequential regularized multi-objective Bayesian optimization for constrained design application using an uncertain Pareto classifier," Journal Article, ASME Journal of Mechanical Design, Accepted/Published August 2021.
  • Tranchida, Julien Guy, Svetoslav Valeriev Nikolov, Mitchell Wood, Attila Cangi, Michael P. Desjarlais, Aidan P. Thompson, "Data-Driven Magneto-Elastic Predictions with Scalable Classical Spin-Lattice Dynamics," Presentation, Invited seminar presentation at UCLA in Los Angeles, California, USA, May 2021.
  • Tranchida, Julien Guy, "First-principles and classical computational study of W/ZrC interfaces," Abstract, 18th International Conference on Plasma-Facing Materials and Components for Fusion Applications (Virtual), May 2021.
  • Tranchida, Julien Guy, "LAMMPS, a brief overview and examples of modification," Presentation, Virtual Lab. Seminar presentation in Seoul, South Korea, June 2021.
  • Tranchida, Julien Guy, "W/ZrC interface stability and interaction with plasma species from first-principles and classical computational studies," Abstract, ICFRM-20 in Granada (virtual), Spain, October 2021.
  • Trask, Nathaniel Albert, "A data-driven exterior calculus for model discovery," Presentation, SIAM CSE21, March 2021.
  • Trask, Nathaniel Albert, "A data-driven exterior calculus for model discovery," Presentation, USACM, July 2021.
  • Trask, Nathaniel Albert, Marta D'Elia, David John Littlewood, Stewart A. Silling, Jeremy Trageser, Michael R. Tupek, "ASCEND: Asymptotically compatible strong form foundations for nonlocal discretization," SAND Report, September 2021.
  • Trask, Nathaniel Albert, "Convergent and structure preserving architectures for SciML," Presentation, USACM UQ Webinar, March 2021.
  • Trask, Nathaniel Albert, "Designing convergent and structure preserving architectures for SciML," Presentation, One World ML virtual meeting, March 2021.
  • Trask, Nathaniel Albert, "Designing convergent and structure preserving architectures for SciML," Presentation, University of Texas El Paso Department Seminar, February 2021.
  • Trask, Nathaniel Albert, "Discovery of structure-preserving finite element spaces for multiscale," Presentation, Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology, September 2021.
  • Trask, Nathaniel Albert, "Making physics-informed ML work," Presentation, Informal presentation for ML reading group at LANL, March 2021.
  • Trask, Nathaniel Albert, "Northwestern Tutorial," Presentation, March 2021.
  • Trask, Nathaniel Albert, "Partition of unity networks: deep hp-approximation," Presentation, AAAI-MLPS 2021, March 2021.
  • Trask, Nathaniel Albert, "Structure preserving architectures for SciML," Presentation, Philms webinar, June 2021.
  • Trott, Christian Robert, Damien Lebrun-Grandie, Daniel Arndt, Jan Ciesko, Vinh Quang Dang, Nathan David Ellingwood, Rahulkumar Gayatri, Evan Charles Harvey, Daisy S. Hollman, Daniel Alejandro Ibanez, Nevin Liber, Jonathan Madsen, Jeff Miles, David Zoeller Poliakoff, Amy Jo Powell, Sivasankaran Rajamanickam, Mikael Simberg, Daniel Sunderland, Bruno Turcksin, Jeremiah Wilke, "Kokkos 3: Programming Model Extensions for the Exascale Era," Journal Article, Transactions on Parallel and Distributed Systems, Accepted/Published June 2021.
  • Trott, Christian Robert, "Kokkos: Programming Model Update," Poster, ECP Annual Meeting 2021, April 2021.
  • Trott, Christian Robert, "The Path to Memory-Centric Computing in ISO C++," Presentation, SC21, October 2021.
  • Trumbo, Derek , Reed Milewicz, "Towards a Culture of Continuous Improvement within RSE Teams," Presentation, 2021 US-RSE Virtual Workshop (Virtual), May 2021.
  • Trumbo, Derek , Reed Milewicz, "Towards a Culture of Continuous Improvement within RSE Teams," Abstract, 2021 US-RSE Virtual Workshop, May 2021.
  • Trumbo, Derek , Reed Milewicz, "Towards a Culture of Continuous Learning and Improvement within RSE Teams," Poster, The 2021 Collegeville Workshop on Scientific Software in Virtual, July 2021.
  • Tuminaro, Raymond S., Alexey Voronin, Scott Machlan, Luke Olson, "Algebraic Multigrid for mixed finite element discretizations of the Stokes Equations," Presentation, University of Maryland Numerical Analysis Seminar in College Park, Maryland, USA, October 2021.
  • Uribe, Eva , Michael F Minner, Bryn Barbara Stuart, Mathias Duane Boggs, Nerayo Teclemariam, "Summary Report: Tailored Cyber Strategies for the 21st Century," Report, May 2021.
  • Valaitis, Sonata, Kathryn Anne Maupin, Davide Curreli, "Integration of first-principles models and machine-learning algorithms for computational efficiency in tokamak physics simulations," Abstract, 63rd Annual Meeting of the APS Division of Plasma Physics in Pittsburgh, PA, USA, November 2021.
  • van Bloemen Waanders, Bart G, Ramana Venkata, Jack Ridderhof, Tsiotras Panagiotis, "Desensitized Trajectory Optimization for Hypersonic Vehicles," Conference Paper, IEEE Aerospace Conference in Big Sky, MT, USA, March 2021.
  • van Bloemen Waanders, Bart G, Joseph Hood, Julie Lisa Parish, "Hyper-differential sensitivity analysis for control under uncertainty of hypersonic vehicles," Presentation, Banff International Research Station Workshop in Banff, Alberta, Canada, February 2021.
  • van Bloemen Waanders, Bart G, Girish Joshi, Girish Chowdhary, "Stochastic Deep Model Reference Adaptive Control," Conference Paper, EIEE CDC Conference in Austin, TX, USA, December 2021.
  • Venturi, Simone , Tiernan Albert Casey, Wei Yang, Igor Kaganovich, "Chemical Model Reduction for Negative Hydrogen Ion Density Predictions Using Global Sensitivity Analysis," Conference Paper, 74th Annual Gaseous Electronics Conference in Online, October 2021.
  • Verzi, Stephen Joseph, Ross Guttromson, Asael Hal Sorensen, Christian Birk Jones, "AlphaGrid: Grid Stability Using Machine Learning State Space Navigation," Presentation, 2021 Sandia MLDL Workshop, July 2021.
  • Verzi, Stephen Joseph, Ross Guttromson, Asael Hal Sorensen, Christian Birk Jones, "AlphaGrid: Grid Stability Using Machine Learning State Space Navigation," Presentation, 021 Sandia MLDL Workshop (virtual), July 2021.
  • Verzi, Stephen Joseph, Raga Krishnakumar, Drew Levin, Daniel Joseph Krofcheck, Callie Boskin, Kelly Porter Williams, "Data Science for Characterization of Genome Noise/Mutation," Presentation, 2021 Sandia MLDL Workshop (virtual), July 2021.
  • Verzi, Stephen Joseph, Raga Krishnakumar, Drew Levin, Daniel Joseph Krofcheck, Callie Boskin, Kelly Porter Williams, "Data Science for Characterization of Genome Noise/Mutation," Presentation, 2021 Sandia MLDL Workshop, July 2021.
  • Verzi, Stephen Joseph, Raga Krishnakumar, Drew Levin, Daniel Joseph Krofcheck, Callie Boskin, Kelly Porter Williams, "Data Science for Detection of Genome Editing," Presentation, 2021 Sandia MLDL Workshop (virtual), July 2021.
  • Vijayakumar, Ganesh, Shreyas Ananthan, Lawrence Cheung, Tony Martinez, Mike Brazell, Ashesh Sharma, Jay Sitaraman, Neil Matula, "Validation of the ExaWind hybrid solver framework using field measurements of the NM-80 turbine under turbulent inflow," Abstract, 74th Annual Meeting of the APS Division of Fluid Dynamics in Phoenix, AZ, USA, November 2021.
  • Vineyard, Craig Michael, Mark Plagge, Sam Green, William Mark Severa, "Comparing Neural Accelerators & Neuromorphic Architectures: The False Idol of Operations," Conference Paper, Neuro Inspired Computational Elements 2021, March 2021.
  • Vineyard, Craig Michael, "Sandia Labs Event-Sensing & Computation Interests," Presentation, Event-Based Sensing/Imaging Community of Interest - Monthly Meeting, February 2021.
  • Vineyard, Craig Michael, "Sandia Labs Event-Sensing & Computational Interests," Presentation, Event-Based Sensing/Imaging Community of Interest-Monthly Meeting, February 2021.
  • Vineyard, Craig Michael, "SEEK-Scoping neuromorphic architecture impact enabling advanced sensing capabilities," Presentation, Nuclear Security Applications Research & Development (NSARD), April 2021.
  • Vineyard, Craig Michael, Josh Donckels, "Space High-Performance Computing Center of Excellence - Joint Exploration of Neuromorphic Orbital Vehicles (JENOVA)," Presentation, NASA Aerospace & Avionics Community of Practice (CoP) meeting, May 2021.
  • Volkova, Svitana, David John Stracuzzi, Jenifer Shafer, Jaideep Ray, Laura Pullum, "Robustness and Validation of Model and Digital Twins Deployment," Report, February 2021.
  • Voronin, Alexey, Yunhui He, Scott Maclachlan, Luke Olson, Raymond S. Tuminaro, "Low-Order preconditioning of the Stokes equations," Journal Article, Numerical Linear Algebra & Applications, Submitted September 2021.
  • Voskuilen, Gwendolyn Renae, "Accelerated Architectures and Structural Simulation Toolkit (SST)," Presentation, Georgia Tech CRNCH Summit 2021 in Atlanta, GA, USA, January 2021.
  • Voskuilen, Gwendolyn Renae, Arun F. Rodrigues, Clayton Hughes, Karl Scott Hemmert, Simon David Hammond, "Towards an Extensible Framework for Accelerated System Simulation," Abstract, Workshop on Modeling & Simulation of Systems and Applications 2021, May 2021.
  • Voskuilen, Gwendolyn Renae, Arun F. Rodrigues, Clayton Hughes, Karl Scott Hemmert, Simon David Hammond, "Towards an Extensible Framework for Accelerated System Simulation," Poster, Workshop on Modeling and Simulation of Systems and Applications, October 2021.
  • Wachtel, Amanda , "Using the Resilient Node Cluster Analysis Tool (ReNCAT) to Optimally Site Microgrids for Critical Services within Communities," Abstract, Society for Risk Analysis 2021 Annual Meeting, June 2021.
  • Wang, Felix , Fredrick Rothganger, "Introduction to Fugu and N2A, thoughts on lava integration," Presentation, Lava Developer Forum, November 2021.
  • Wang, Felix , Ryan Anthony Dellana, Suma George Cardwell, "Neuromorphic Edge Computing for Classifying Spatio-Temporal Events," SAND Report, September 2021.
  • Watkins, Jerry , Travis C. Fisher, Wyatt James Horne, "A performance portable implementation of high-order, entropy-stable spectral collocation schemes for compressible turbulent flow," Abstract, WCCM-APCOM, November 2021.
  • Watkins, Jerry , "Automated Performance Testing and Tuning," Presentation, Trilinos User-Developer Group Meeting, November 2021.
  • Watkins, Jerry , "Preparing for High-fidelity Computational Fluid Dynamics on Exascale Systems," Presentation, CSRI Summer Seminar Series, June 2021.
  • Watson, Jean-Paul, William Eugene Hart, Harvey Greenberg, Cynthia A. Phillips, "Chapter 7 – An analysis of multiple contaminant warning system design objectives for sensor placement optimization in water distribution networks," Book, Harvey J. Greenberg A Legacy Bridging Operations Research and Computing, January 2021.
  • Weirs, V. Gregory, "ParaView Deployment at Sandia," Report, June 2021.
  • Wenzel, Everett Ardin, Marco Arienti, "Computational Tool Improves Predictions of Evaporation from Liquid Fuel Surfaces, Informs Mitigation of Soot Emissions," Presentation, January 2021 Co-Optima Stakeholders, January 2021.
  • Wildey, Timothy Michael, Troy Butler, John Davis Jakeman, "Combining Measure Theory and Bayes? Rule to Solve a Stochastic Inverse Problem," Presentation, EMI/PMC 2021 in New York, New York, USA, May 2021.
  • Wildey, Timothy Michael, Lukas Bruder, Michael Gee, "DATA-CONSISTENT SOLUTIONS TO STOCHASTIC INVERSE PROBLEMS USING A PROBABILISTIC MULTI-FIDELITY METHOD BASED ON CONDITIONAL DENSITIES," Journal Article, International Journal for Uncertainty Quantification, Accepted/Published March 2021.
  • Wildey, Timothy Michael, Troy Butler, John Davis Jakeman, Anh Tran, "Solving Stochastic Inverse Problems for Property-Structure Relationships in Computational Materials Science," Presentation, US National Congress on Computational Mechanics in Chicago, IL, USA, July 2021.
  • Wildey, Timothy Michael, Bryan William Reuter, Gianluca Geraci, "Utilizing multi-fidelity UQ methods to enable the efficient solution of stochastic multi-scale hybridized differential equations," Presentation, IX International Conference on Coupled problems in Science and Engineering, June 2021.
  • Willenbring, James Michael, "A Testing Strategy that Supports Scientific Software Sustainability," Conference Paper, ASCR Workshop on the Science-Software Development and Use in Virtual, December 2021.
  • Willenbring, James Michael, "Continuous Integration," Presentation, ECP Annual Meeting (virtual), April 2021.
  • Willenbring, James Michael, Sameer Shende, "E4S: Extreme-Scale-Scientific Software Stack," Exhibit/Display, ECP Annual Meeting (virtual), April 2021.
  • Willenbring, James Michael, "Software Development Kits," Presentation, ECP Annual Meeting (virtual), April 2021.
  • Willenbring, James Michael, "Summary," Presentation, ECP Annual Meeting (virtual), April 2021.
  • Willenbring, James Michael, "Team of Teams-E4S: Who's on your Team?," Presentation, ECP Annual Meeting (virtual), April 2021.
  • Willenbring, James Michael, "Trilinos Framework Product Overview and Update," Presentation, 2021 Trilinos User-developer Group Meeting Virtual, November 2021.
  • Wilson, Andrew T., "Tracktable: Trajectory Analysis and Visualization," Abstract, Invited Presentation, Austrian Institute of Technology in Vienna, , Austria, January 2021.
  • Winovich, Nickolas , "Deep Operator Network with Predictive Uncertainty," Presentation, Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology in San Diego, CA, USA, September 2021.
  • Witzel, Wayne , Joaquin Emilio Madrid Larranaga, Warren Craft, Robert Carr, "Prove-It: A Proof Assistant for Organizing and Verifying General Mathematical Knowledge," Conference Paper, Interactive Theorem Proving in Rome, Italy, July 2021.
  • Wofford, Quincy, Patrick Bridges, Patrick Widener, "A layered approach for modular container construction and orchestration in HPC environments," Conference Paper, ScienceCloud 2021: 11th Workshop on Scientific Cloud Computing in Stockholm, Sweden, June 2021.
  • Wolf, Matthew, Jeremy Logan, Kshitij Mehta, Daniel Jacobson, Mikaela Cashman, Angelica Walker, Greg Eisenhauer, Patrick Widener, Ashley Cliff, "Reusability First: Toward FAIR Workflows," Conference Paper, IEEE Cluster Conference in Portland, OR, USA, September 2021.
  • Wolf, Michael , Hemanth Kolla, Tiernan Albert Casey, "Exalearn update slide," Presentation, Frank Alexander presentation, October 2021.
  • Wong, Chun-Shang , Robert Kolasinski, Josh A. Whaley, Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson, Brian Wirth, "Nitrogen effects on hydrogen adsorption at tungsten surfaces," Abstract, 18th International Conference on Plasma-Facing Materials and Components for Fusion Applications (Virtual), January 2021.
  • Wood, Mitchell , Aidan P. Thompson, Mary Alice Cusentino, David Montes de Oca Zapiain, Ivan Oleynik, "Interatomic Potentials for Materials Science and Beyond; Advances in Machine Learned Spectral Neighborhood Analysis Potentials," Presentation, LAMMPS Users Conference in Albuquerque, New Mexico, United States of America, August 2021.
  • Wood, Mitchell , Charles Andrew Sievers, Aidan P. Thompson, Nicholas Lubbers, Danny Perez, "Building a Better Database to Learn From: Application to Interatomic Potentials," Presentation, TMS Annual Meeting 2021 in Orlando, FL, USA, March 2021.
  • Wood, Mitchell , "LAMMPS Users Meeting 2021: Visualization Tutorial," Presentation, LAMMPS Users Meeting 2021 in Albuquerque, New Mexico, United States of America, August 2021.
  • Worley, Andrew, Derek Schafer, Purushotham Bangalore, Matthew Dosanjh, Ryan Eric Grant, Anthony Skjellum, Sheikh Ghafoor, "Design of a Portable Implementation of Partitioned Point-to-Point Communication Primitives," Conference Paper, P2S2 Workshop at ICPP, August 2021.
  • Xie, Bing, Zilong Tan, Philip Cairns, Jeff Chase, Kevin Harms, Gerald Fredrick Lofstead, Sarp Oral, Sudharsahn Vazhkudai, Feiyi Wang, "Interpreting Write Performance of Supercomputer I/O Systems with Regression Models," Conference Paper, IEEE International Parallel & Distributing Processing Symposium in Portland, OR, USA, May 2021.
  • Xie, Bing, Zilong Tan, Philip Carns, Jeff Chase, Kevin Harms, Gerald Fredrick Lofstead, Sarp Oral, Sudharshan Vazhkudai, Feiyi Wang, "Interpreting Write Performance of Supercomputer I/O Systems with Regression Models," Conference Paper, IEEE International Parallel & Distributed Processing Symposium in Portland, OR, USA, May 2021.
  • Xu, Xiao, Christian Alexander Glusa, Marta D'Elia, John T. Foster, "A FETI approach to domain decomposition for meshfree discretizations of nonlocal problems," Journal Article, Computer Methods in Applied Mechanics and Engineering, Accepted/Published August 2021.
  • Yamazaki, Ichitaro , "Solvers and Kernels for Exascale (SAKE) project: Exascle Trilinos Solvers project," Presentation, ECP Annual Meeting 2021, April 2021.
  • Yang, Barnett , "Developing Bayesian Network Capabilities to Robustly Detect Cybersecurity Intrusions," Presentation, Virtual New Mexico Intern Symposium, July 2021.
  • You, Huaiqian, Xin Yang Lu, Nathaniel Albert Trask, Yue Yu, "AN AYSYMPTOTICALLY COMPATIBLE APPROACH FOR NEUMANN-TYPE BOUNDRY CONDITION ON NONLOCAL PROBLEMS," Journal Article, ESAIM, Accepted/Published February 2021.
  • Young, Kevin , "Assessing the Performance of Quantum Computers with Machine Learning," Presentation, Harnessing Quantum Matter Data Revolution Virtual Symposium and Summer School, June 2021.
  • Younge, Andrew J, Timothy Jesse Fuller, Kevin Pedretti, Steven W. Bova, "A Case Study in Using Containers to Build and Distribute HPC Applications: ALEGRA," Presentation, JOWOG 34, July 2021.
  • Younge, Andrew J, "CANOPIE-HPC Workshop Introduction - SC21," Presentation, CANOPIE-HPC Workshop at SC21, November 2021.
  • Younge, Andrew J, "Constructing Containers for Exascale Computing," Presentation, Supercomputing 2021, November 2021.
  • Younge, Andrew J, Simon David Hammond, Kevin Pedretti, James H. Laros, "Containers and the Arm Ecosystem," Presentation, International Supercomputing Conference 2021, June 2021.
  • Younge, Andrew J, "Portability and Reproductivity Considerations with Containers," Presentation, CROSS Research Symposium, October 2021.
  • Younge, Andrew J, "Sandia's Experiences (and Predictions) on Arm," Presentation, Supercomputing 2021, November 2021.
  • Zeng, Xiaoshu, Gianluca Geraci, Michael S. Eldred, John Davis Jakeman, Alex Gorodetsky, Roger Ghanem, "Adaptive Basis for Multifidelity Uncertainty Quantification," Presentation, 16th US National Congress on Computational Mechanics in Chicago, IL, USA, July 2021.
  • Zeng, Xiaoshu, Gianluca Geraci, Michael S. Eldred, John Davis Jakeman, Alex Gorodetsky, Roger Ghanem, "Adaptive Basis for Multifidelity Uncertainty Quantification," Abstract, 16th U.S. National Congress on Computational Mechanics in Chicago, IL, USA, February 2021.
  • Zeng, Xiaoshu, Gianluca Geraci, Michael S. Eldred, Roger Ghanem, "Exploring important directions for multifidelity uncertainty quantification by basis adaptation method," Presentation, SIAM CSE21 in Fort Worth, TX, USA, March 2021.
  • Zhang, Bo, Philip Davis, Pradeep Subedi, Francesco NMN Rizzi, Nicolas Manuel Morales, Keita Teranishi, "Design and Performance of Kokkos Staging Space toward Scalable Resilient Application Couplings," SAND Report, August 2021.
  • Zhang, Yijia, Burak Aksar, Omar Raad Aaziz, Benjamin Schwaller, James M. Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun, "Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation," Conference Paper, IEEE HPEC, September 2021.
  • Zwick, David , "Next-generation modeling of electric initiator devices in the low magnetic Reynolds number regime," Presentation, NECDC 2021, May 2021.