Page • Marissa B. P. Adams, Tiernan A. Casey, Juan P. Mendez Granado and K. Skolfield, editors, Computer Science Research Institute Summer Proceedings 2025, The Computer Science Research Institute at Sandia National Laboratories, Albuquerque, NM and Livermore, CA, 2025. Available as Sandia National Laboratories Technical Report SAND2025-14267O. Individual Articles M. S. Ackermann,...
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Computing Platform Engineering (CPE) Initiative
Project • The Computing Platform Engineering (CPE) Initiative, launched in FY25, aims to create a holistic and automated approach to accessing computing infrastructure, enhancing resource utilization, and informing strategic investments. It employs modern development methodologies to meet the demand for sustainable, purpose-built tools. The project takes a cloud-like Platform Engineering approach and...
Continuous Optimization
Focus Area • We perform research and development of advanced algorithms for engineering-based optimization. This includes engineering design optimization, model calibration (i.e., parameter estimation), and material identification (or inversion). Often, the problems we address have equality constraints given by solutions to partial differential equations. We implement these algorithms in our flagship software tools...
Copyrighted and Open Sourced N2A Software
Award, February 27, 2013 • Other external recognition, Department of Energy.
Corinne Teeter, PhD
Staff Page • Principal Member of the Technical Staff. Biography “What I cannot create, I do not understand”. -- Richard Feynman Corinne is driven to discover and understand the basic principles of complex computation and intelligence. Her research lies at the intersection of neuroscience and technology. As a Principal Member of the Technical...
Courtenay T. Vaughan
Staff Page • Scalable Computer Architecture. Biography My current research interests include performance modeling and analysis, code optimization, and characterization of current high performance computing (HPC) platforms. As a member of the Application Performance Modeling and Anaylsis Team, we are using the knowledge of current architectures to predict performance of future machines and...
Craig M. Vineyard
Staff Page • Computer Scientist. Biography Craig M. Vineyard, PhD has degrees in computer engineering with expertise in machine learning and neuromorphic computing. He has been at Sandia National Laboratories for over 15 years pursuing computing research and development for national security. This includes performing foundational research on how advanced computing technologies can...
Credibility in Scientific Machine Learning: Data Verification and Model Qualification
News Article, June 1, 2021 • The Advanced Simulation and Computing (ASC) initiative on Advanced Machine Learning (AML) aims to maximize near and long-term impact of Artificial Intelligence (AI) and Machine Learning (ML) technologies on Sandia’s Nuclear Deterrence (ND) program. In this ASC-AML funded project, the team is developing new approaches for assessing the quality of...
CrossSim
Software • CrossSim is a GPU-accelerated, Python-based crossbar simulator designed to model analog in-memory computing for any application that relies on matrix operations. This includes neural networks, signal processing, solving linear systems, and many more. It is an accuracy simulator and co-design tool that was developed to address how analog hardware effects...
Curtis C. Ober
Staff Page • Computational Science. Biography Curt has extensive experience with seismic imaging, full-waveform inversion, verification, time-integration, and discontinuous Galerkin methods. Additionally, he has a diverse background in computational dynamics, including computational fluid dynamics in the areas of Shock physicsSupersonic and hypersonic flowSupersonic wakes Education 1/1991-5/1994 University of Texas at Austin, Austin, Texas,...
Cyber Security
Focus Area • Our cybersecurity research is focused on developing cross-cutting enabling capabilities that can impact a wide range of cybersecurity challenges. This includes research in streaming algorithms to quickly process large cyber data streams, algorithms to find patterns in large graphs and machine learning techniques to detect adversarial behavior (e.g. phishing emails)....
Cynthia Ann Phillips
Staff Page • Computing Research. Biography I have historically worked in combinatorial optimization, algorithm design and analysis, and parallel computation with elements of operations research. My work has spanned theory, general solver development, and applications. I still work in combinatorial optimization. More recently, I have worked in "big data" areas, including streaming, complex...
Dakota
Software • Dakota: Optimization and Uncertainty Quantification Algorithms for Design Exploration and Simulation Credibility. The Dakota toolkit provides a flexible, extensible interface between analysis codes and iterative systems analysis methods. Dakota contains algorithms for: optimization with gradient and nongradient-based methods;uncertainty quantification with sampling, reliability, stochastic expansion, and epistemic methods;parameter estimation with nonlinear...
Daniel Thomas Seidl
Staff Page • Scientific Machine Learning. Biography Tom has been at Sandia National Labs since January 2016. He develops computational methods in the areas of PDE-constrained optimization, finite elements, and uncertainty quantification. Education Ph.D. Mechanical Engineering, Boston University, August 2015 M.S. Mechanical Engineering, Boston University, May 2012 B.S. University of Rochester, Biomedical Engineering,...
Data Analysis and Visualization
Focus Area • The data analysis and visualization groups focus on scalable techniques for providing decision support in national security and national-level challenges. By incorporating advanced algorithms, innovative hardware architectures, and scalable analysis components, we develop solutions that promote insight, regardless of the complexity, size, or uncertainty of the data. With a focus...
Data and Decision Sciences
Research Area • Sandia and the CCR support decision-makers in multiple national security application domains including cyber security, non-proliferation, counterterrorism, and battlefield situational awareness. The decision sciences research is multidisciplinary and blurs the line between computing and humans. This group has extensive experience in a number of computational fields such as discrete math,...
David Littlewood
Staff Page • Computational Multiscale. Biography I am the manager of the Computational Multiscale Department (Org. 1444) in the Center for Computing Research at Sandia National Laboratories. My managerial role and technical background are in the development, implementation, and application of multiscale, multiphysics techniques for materials modeling and computational solid mechanics. I am...
Defense Applications
Focus Area • We develop and apply multiphysics analysis tools that address various issues important to the DOE, DoD, DHS, and other U.S. Government agencies, and support production use of our codes by our principal customers. Our ALEGRA multiphysics code employs an Arbitrary Lagrangian-Eulerian (ALE) methodology targeted at the simulation of high strain rate,...
Defense Programs Award of Excellence
Award, March 1, 2010 • Award, National Nuclear Security Administration .
Defense Programs Award of Excellence, Exceptional Achievement
Award, October 1, 2018 • Award, National Nuclear Security Administration. Astra, first petascale Arm Supercomputer
Denis Mamaluy
Staff Page • Cognitive & Emerging Computing. Biography The CMOS technology is famously approaching its scaling limit: within the next decade or so, nano-scale FET transistors will reach the sub 5-nm physical gate lengths, at which point any further reduction of their sizes will likely become impractical and even impossible due to the...
Denis Ridzal
Staff Page • Optimization & Uncertainty Quantification. See my expanded staff site.
Density Functional Theory
Focus Area • Our research in electronic structure methods, particularly density functional theory (DFT), spans investigations of improved physical approximations (new functionals, time-dependent DFT), development of high-performance quantum simulation codes (SeqQuest), and applications focused on probing microscopic materials chemistry underlying challenging materials problems. The research encompasses the pursuit for predictive simulations of materials...
Density Functional Theory (DFT)
Page • This page is intended to provide information useful for people using and/or developing density-functional theory based tools for electronic structure calculations. The main focus will be on usage and development of DFT methods within Sandia. If you do not find what you wanted and think we should know about it...
Departments
Page • Extreme-Scale and Novel Computing Setting the stage for the next generation of innovative computing: designing hardware, evaluating performance, and providing infrastructure for operation Cognitive & Emerging Computing Scalable Computer Architecture Scalable System Software Quantum Computer Science Software Engineering & Research Computational Sciences and Math Focused on traditional numerical methods, including...
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