Center for Computing Research (CCR)

Center for Computing Research

Discrete Math & Optimization, 01464

The Discrete Math & Optimization Department conducts research and development in mathematics and computing in support of Sandia missions.  Principle areas of focus include graph algorithms, parallel computing, combinatorial optimization, integer programming and quantum algorithms. Our team delivers creative enabling technologies and software tools. The department works on a wide variety of applicaton areas including scientific computing, systems software, logistics and sensor placement.

People

[photo not uploaded] Randy David Smith
Manager, Discrete Math & Optimization
Email: ransmit@sandia.gov
Phone: 505/844-3189

Mailing address:
Sandia National Laboratories
P.O. Box 5800, MS 1327
Albuquerque, NM
87185-1320
Gregory James Bristol, Office Administrative Assistant
Staff
Jonathan W. Berry (Jon)
Michael Lee Bynum
Mohamed Salah Ebeida
William Eugene Hart
Jordan Heath Jalving
Carl Damon Laird
Richard B. Lehoucq
Vitus J. Leung
Carolyn Doo Mayer
Bethany L. Nicholson
Ojas D. Parekh
Alexandra Marie Porter
John Daniel Siirola
Andrea Staid
Jessica Kelley Thompson
Kevin Thompson
Yipu Wang

News

  • IDEAS PSE Computational Platform Wins 2020 R&D 100 Award

    The IDAES Integrated Platform is a comprehensive set of open-source Process Systems Engineering (PSE) tools supporting the design, modeling, and optimization of advanced process and energy systems. By providing rigorous equation-oriented modeling capabilities, IDAES helps energy and process companies, technology developers, academic researchers, and the DOE to design, develop, scale-up, and analyze new PSE technologies and processes to accelerate advances and apply them to address the nation’s energy needs....

    IDEAS PSE Computational Platform Wins 2020 R&D 100 Award

    The IDAES Integrated Platform is a comprehensive set of open-source Process Systems Engineering (PSE) tools supporting the design, modeling, and optimization of advanced process and energy systems. By providing rigorous equation-oriented modeling capabilities, IDAES helps energy and process companies, technology developers, academic researchers, and the DOE to design, develop, scale-up, and analyze new PSE technologies and processes to accelerate advances and apply them to address the nation’s energy needs. The platform is based on and extends the Pyomo optimization modeling environment originally developed at Sandia.  IDAES has taken the core optimization capabilities in Pyomo and not only built a domain-specific process modeling environment, but also expanded the core environment into new areas, including logic-based modeling, custom decomposition procedures and optimization algorithms, model predictive control, and machine learning methods.

     

    The IDAES PSE Computational Platform is developed by the Institute for the Design of Advanced Energy Systems (IDAES) and was recently awarded a 2020 R&D 100 Award.  Led by National Energy Technology Laboratory (NETL), IDAES is a collaboration with Sandia National Laboratories, Berkeley Lab, West Virginia University, Carnegie Mellon University, and the University of Notre Dame.

     

    For more information on IDAES, see https://idaes.org

     

     

     

    Contact: Siirola, John Daniel
    January 2021
    1255795

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