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Publication	Type	Year
Reinforcement learning for material calibration via kalman filter estimation USACM Thematic Conference on Uncertainty Quantification for Machine Learning Integrated Physics Modeling Ruben Villarreal, Thomas Anthony Catanach, Reese E. Jones, Nathaniel Albert Trask, Sharlotte LorraineBolyard Kramer, Nikolaos Vlassis N., WaiChing Sun	Abstract – 2022 Abstract	2022
Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories Society of Experimental Mechanics Annual Conference 2021 - Virtual Sharlotte LorraineBolyard Kramer, Dan Stefan Bolintineanu, Kevin Nicholas Long, Craig Hamel, Ari Louis Frankel, Reese E. Jones, Scott A Roberts, Laura Painton Swiler, Kyle Johnson https://www.osti.gov/search/identifier:1867564	Conference Presentation – 2021 Conference Presentation	2021
Software Design and Implementation for Next-Generation Parallel Architectures World Congress on Computational Mechanics and Asian Pacific Congress on Computational Mechanics David John Littlewood, Henry Tufo, Hiroshi Okuda, Reese E. Jones	Abstract – 2021 Abstract	2021
Hierarchical Parallelism for Transient Solid Mechanics Simulations 14th World Congress on Computational Mechanics David John Littlewood, Reese E. Jones, Nicolas Morales, Julia Anne Plews, Ulrich Ladislas Lucien Hetmaniuk, Jonathan Josiah Lifflander https://www.osti.gov/search/identifier:1847484	Conference Paper – 2021 Conference Paper	2021
Hierarchical Parallelism for Transient Solid Mechanics Simulations 14th World Congress on Computational Mechanics and 8th European Congress on Computational Methods in Applied Sciences and Engineering David John Littlewood, Julia Anne Plews, Nicolas Manuel Morales, Reese E. Jones https://www.osti.gov/search/identifier:1833788	Conference Presentation – 2020 Conference Presentation	2020
Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories Society of Experimental Mechanics Annual Conference Sharlotte LorraineBolyard Kramer, Dan Stefan Bolintineanu, Kevin Nicholas Long, Craig Hamel, Ari Louis Frankel, Reese E. Jones, Scott Alan Roberts, Laura Painton Swiler, Kyle Johnson	Abstract – 2020 Abstract	2020
Tensor Basis Gaussian Process Models of Hyperelastic Materials Journal of Machine Learning for Modeling and Computing Ari Louis Frankel, Reese E. Jones, Laura Painton Swiler https://www.osti.gov/search/identifier:1668364	Journal Article – 2020 Journal Article	2020
Hierarchical Parallelism for Transient Solid Mechanics Simulations 14th World Congress on Computational Mechanics (WCCM) David John Littlewood, Julia Anne Plews, Nicolas Manuel Morales, Reese E. Jones https://www.osti.gov/search/identifier:1761280	Conference Paper – 2020 Conference Paper	2020
Tensor Basis Gaussian Process Models of Hyperelastic Materials arXiv Ari Louis Frankel, Laura Painton Swiler, Reese E. Jones https://www.osti.gov/search/identifier:1670720	Journal Article – 2019 Journal Article	2019
The utility of automated high-throughput tensile testing to reveal stochastic process parameter sensitivity Materials Science and Engineering A Nathan Heckman, Thomas Ivanoff, Ashley [UCSB] Roach, Bradley Howell Jared, Daniel Joseph Tung, Todd Huber, David J. Saiz, Joshua Robert Koepke, Jeffrey Rodelas, Jonathan D Madison, Bradley Salzbrenner, Laura Painton Swiler, Reese E. Jones, Brad Boyce https://www.osti.gov/search/identifier:1581976	Journal Article – 2019 Journal Article	2019
Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories NSF Workshop on Applications of Machine Learning to Experimental Mechanics and Materials Sharlotte LorraineBolyard Kramer, Dan Stefan Bolintineanu, Kevin Nicholas Long, Robert Waymel, Enrico C. Quintana, Reese E. Jones, Scott Alan Roberts, Justin T Newcomer, David John Stracuzzi, Laura Painton Swiler https://www.osti.gov/search/identifier:1643105	Conference Paper – 2019 Conference Paper	2019
Modeling of Multiphysics Crack Growth in Cement Ses 2019 Reese E. Jones, Jessica Rimsza, David John Littlewood, Tara LaForce https://www.osti.gov/search/identifier:1643056	Conference Paper – 2019 Conference Paper	2019
Modeling of Multiphysics Crack Growth in Cement 56th Annual Technical Meeting of the Society of Engineering Science (SES2019) Reese E. Jones, Jessica Rimsza, David John Littlewood, Tara LaForce	Abstract – 2019 Abstract	2019
Modeling of Multiphysics Crack Growth in Cement with Peridynamic Simulations 10th Advances in Cement-Based Materials Jessica Rimsza, Reese E. Jones, Tara LaForce, David John Littlewood	Abstract – 2019 Abstract	2019
Multiphysics Peridynamic Models for Crack Growth in Brittle Materials SIAM Conference on Computational Science and Engineering (CSE19) David John Littlewood, Jessica Rimsza, Jennifer M Frederick, Reese E. Jones, Tara LaForce https://www.osti.gov/search/identifier:1602633	Conference Paper – 2019 Conference Paper	2019
Coupled Peridynamic and Subsurface Flow Models for Environmentally-Assisted Crack Growth in Concrete Structures SIAM Conference on Computational Science and Engineering David John Littlewood, Jessica Rimsza, Jennifer M Frederick, Reese E. Jones	Abstract – 2018 Abstract	2018
A Mathematical Framework for Multiscale Science and Engineering: the Variational Multiscale Method and Interscale Transfer Operators Pavel B. Bochev, Samuel Scott Collis, Reese E. Jones, Richard B. Lehoucq, Michael L. Parks, Guglielmo Scovazzi, Stewart A. Silling, Jeremy Alan Templeton, Gregory J. Wagner https://www.osti.gov/search/identifier:922756	SAND Report – 2007 SAND Report	2007
Atomistic-to-continuum coupling for heat transfer in solids World Congress on Computational Mechanics Gregory J. Wagner, Reese E. Jones, Michael L. Parks, Alexander Slepoy, Richard B. Lehoucq https://www.osti.gov/search/identifier:893560	Conference Paper – 2006 Conference Paper	2006
ACME - Algorithms for Contact in a Multiphysics Environment API Version 1.0 Kevin H. Brown, Randall M. Summers, Micheal W. Glass, Arne S. Gullerud, Martin W. Heinstein, Reese E. Jones, Randall M. Summers https://www.osti.gov/search/identifier:789572	Report – 2001 Report	2001
ACME Algorithms for Contact in a Multiphysics Environment API Version 0.3a Kevin H. Brown, Micheal W. Glass, Arne S. Gullerud, Martin W. Heinstein, Reese E. Jones, Randall M. Summers https://www.osti.gov/search/identifier:780315	Report – 2001 Report	2001
Document Title	Type	Year

Publications

Reinforcement learning for material calibration via kalman filter estimation

Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories

Software Design and Implementation for Next-Generation Parallel Architectures

Hierarchical Parallelism for Transient Solid Mechanics Simulations

Hierarchical Parallelism for Transient Solid Mechanics Simulations

Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories

Tensor Basis Gaussian Process Models of Hyperelastic Materials

Hierarchical Parallelism for Transient Solid Mechanics Simulations

Tensor Basis Gaussian Process Models of Hyperelastic Materials

The utility of automated high-throughput tensile testing to reveal stochastic process parameter sensitivity

Mechanics of Materials Utilizing Machine Learning: Examples at Sandia National Laboratories

Modeling of Multiphysics Crack Growth in Cement

Modeling of Multiphysics Crack Growth in Cement

Modeling of Multiphysics Crack Growth in Cement with Peridynamic Simulations

Multiphysics Peridynamic Models for Crack Growth in Brittle Materials

Coupled Peridynamic and Subsurface Flow Models for Environmentally-Assisted Crack Growth in Concrete Structures

A Mathematical Framework for Multiscale Science and Engineering: the Variational Multiscale Method and Interscale Transfer Operators

Atomistic-to-continuum coupling for heat transfer in solids

ACME - Algorithms for Contact in a Multiphysics Environment API Version 1.0

ACME Algorithms for Contact in a Multiphysics Environment API Version 0.3a