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Publication	Type	Year
Simulating Radiation-Induced Shocks in Thermal Spray Coating Materials Could Help Protect Diagnostic Equipment at Pulsed Power Facilities Jimmy Carleton, Theron Rodgers, Mikhail Mesh, Corbett C. Battaile, William M. Scherzinger, Jason James Sanchez, Dan Stefan Bolintineanu, Carianne Martinez, Donald Eugene Bruss, Aaron Jeffrey Olson, Brian C. Franke, Shawn D. Pautz, Nathan W. Moore	Marketing or Promotional – 2022 Marketing or Promotional	2022
Evaluating Critical Microstructure Features for Shock Sensitivity at the Mesoscale Aps Gsccm 2022 Michael Neil Sakano, Judith Alice Brown, Julia M Hartig, Dan Stefan Bolintineanu, Mitchell Wood	Conference Presentation – 2022 Conference Presentation	2022
Understanding wall stresses in powder die compaction by novel experiments and coordinated modeling TMS 2023 Annual Meeting & Exhibition Daniel Charles Bufford, Dan Stefan Bolintineanu, Joel Thomas Clemmer, William W. Erikson, Stewart A. Silling	Abstract – 2022 Abstract	2022
Evaluating Critical Microstructure Features for Shock Sensitivity at the Mesoscale Aps Gsccm 2022 Michael Neil Sakano, Judith Alice Brown, Julia M. Hartig, Dan Stefan Bolintineanu, Mitchell Wood	Conference Presentation – 2022 Conference Presentation	2022
Methods for Coupling a Lagrangian Discrete Element Sea Ice Model to an Eulerian Ocean Model 15th World Congress on Computational Mechanics (Virtual) Kara J. Peterson, Adrian Turner, Dan Stefan Bolintineanu, Svetoslav Valeriev Nikolov	Conference Presentation – 2022 Conference Presentation	2022
Shock State Distributions in Porous Tantalum Using Multipoint PDV 22nd Biennial Conference of the APS Topical Group on Shock Compression of Condensed Matter (SHOCK22) Nathan W. Moore, Chad August McCoy, James Brian Carleton, Dan Stefan Bolintineanu, Daniel Frayer, Morris Kaufman, Sheri Payne	Conference Presentation – 2022 Conference Presentation	2022
Examining Regional Sea Ice Dynamics Within the Nares Strait Using a Lagrangian Discrete Element Model for Sea Ice Esco 2022 Svetoslav Valeriev Nikolov, Kara J. Peterson, Adrian Turner, Dan Stefan Bolintineanu, Joel Thomas Clemmer	Conference Presentation – 2022 Conference Presentation	2022
LAMMPS - A flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales Computer Physics Communications Aidan P. Thompson, Metin Aktulga, Richard Berger, Dan Stefan Bolintineanu, Michael W. Brown, Paul Crozier, Pieter J. in't Veld, Axel Kohlmeyer, Stan Gerald Moore, Trung Nguyen, Tzu-ray Shan, Mark J. Stevens, Julien Tranchida, Christian Robert Trott, Steven J. Plimpton https://www.osti.gov/search/identifier:1872034	Journal Article – 2022 Journal Article	2022
Evaluating microstructure features for shock sensitivity at the mesoscale 22nd Biennial Conference of the APS Topical Group on Shock Compression of Condensed Matter Judith Alice Brown, Michael Neil Sakano, Julia Marilyn Hartig, Dan Stefan Bolintineanu, Mitchell Wood	Abstract – 2022 Abstract	2022
Data Mining the Mesoscale to Study Shock Ignition and Reaction Growth in Pressed Energetic Materials TMS 2022 Annual Meeting and Exhibition Judith Alice Brown, Julia Marilyn Hartig, Michael Neil Sakano, Dan Stefan Bolintineanu, Mitchell Wood	Conference Presentation – 2022 Conference Presentation	2022
Enabling Particulate Materials Processing Science for High-Consequence, Small-Lot Precision Manufacturing Dan Stefan Bolintineanu, Jeremy B. Lechman, Daniel Charles Bufford, Joel Thomas Clemmer, Marcia A. Cooper, William W. Erikson, Stewart A. Silling, Michael S. Oliver, Andres Aurelio Chavez, Kevin Schmalbach, Nathan A. Mara https://www.osti.gov/search/identifier:1832288	SAND Report – 2021 SAND Report	2021
Using Deep Neural Networks to Predict Material Types in Conditional Point Sampling Applied to Markovian Mixture Models American Nuclear Society Mathematics & Computation (M&C) 2021 Warren Leon Davis IV, Aaron Jeffrey Olson, Gabriel ANUOLUWAPO Popoola, Dan Stefan Bolintineanu, Theron Rodgers, Emily Vu	Conference Presentation – 2021 Conference Presentation	2021
Probing Sea Ice Mechanics with a Lagrangian Discrete Element Model for Sea Ice USNCCM16 conference Svetoslav Valeriev Nikolov, Kara J. Peterson, Dan Stefan Bolintineanu, Joel Thomas Clemmer	Conference Presentation – 2021 Conference Presentation	2021
Data mining the mesoscale to study shock ignition and reaction growth in pressed energetic materials TMS 2022 Annual Meeting & Exhibition Judith Alice Brown, Julia Marilyn Hartig, Dan Stefan Bolintineanu, Mitchell Wood	Abstract – 2021 Abstract	2021
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
Mesostructure Evolution During Powder Compression: Micro-CT Experiments and Particle-Based Simulations 2021 SEM Annual Marcia A. Cooper, Joel Thomas Clemmer, Stewart A. Silling, Daniel Charles Bufford, Dan Stefan Bolintineanu https://www.osti.gov/search/identifier:1865256	Conference Presentation – 2021 Conference Presentation	2021
Fast Three Dimensional Rules-Based Simulation of Thermal Sprayed Microstructures Computational Materials Science Theron Rodgers, John A. Mitchell, Aaron Jeffrey Olson, Dan Stefan Bolintineanu, Andrew Vackel, Nathan W. Moore https://www.osti.gov/search/identifier:1781556	Journal Article – 2021 Journal Article	2021
Simulation of Powder Bed Metal Additive Manufacturing Microstructures with Coupled Finite Difference-Monte Carlo Method Additive Manufacturing Theron Rodgers, Fadi Abdeljawad, Daniel Moser, Olivia De'Haven Underwood Jackson, Jay D. Carroll, Bradley Howell Jared, Dan Stefan Bolintineanu, John A. Mitchell, Jonathan D Madison https://www.osti.gov/search/identifier:1773289	Journal Article – 2021 Journal Article	2021
Using Deep Neural Networks to Predict Material Types in Conditional Point Sampling Applied to Markovian Mixture Models The International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2021) Warren Leon Davis IV, Aaron Jeffrey Olson, Gabriel ANUOLUWAPO Popoola, Dan Stefan Bolintineanu, Theron Rodgers, Emily Vu https://www.osti.gov/search/identifier:1847481	Conference Paper – 2021 Conference Paper	2021
Probing Sea Ice Mechanics with a Lagrangian Discrete Element Model for Sea Ice United States National Congress on Computational Mechanics Svetoslav Valeriev Nikolov, Kara J. Peterson, Adrian Turner, Dan Stefan Bolintineanu, Joel Thomas Clemmer	Abstract – 2021 Abstract	2021
Conservative Remap and Interpolation for the Discrete Element for Sea Ice Model 14th World Congress on Computational Mechanics Kara J. Peterson, Dan Stefan Bolintineanu, Adrian Turner https://www.osti.gov/search/identifier:1833790	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
A Performance Portable Discrete Element Sea Ice Model Earth System Model Development PI Meeting Kara J. Peterson, Svetoslav Valeriev Nikolov, Dan Stefan Bolintineanu, Joel Thomas Clemmer, Adrian Turner https://www.osti.gov/search/identifier:1829229	Conference Presentation – 2020 Conference Presentation	2020
Mesostructure Evolution During Powder Compression: Micro-CT Experiments and Particle-Based Simulations Society of Experimental Mechanics (SEM) XV International Congress Marcia A. Cooper, Joel Thomas Clemmer, Stewart A. Silling, Dan Stefan Bolintineanu, Daniel Charles Bufford	Abstract – 2020 Abstract	2020
Granular packings with sliding, rolling, and twisting friction Physical Review E Andrew Pablo Santos, Dan Stefan Bolintineanu, Gary S. Grest, Jeremy B. Lechman, Steven J. Plimpton, Ishan Srivastava, Leonardo Silbert https://www.osti.gov/search/identifier:1667434	Journal Article – 2020 Journal Article	2020
Document Title	Type	Year

Results 1–25 of 44

Publications

Simulating Radiation-Induced Shocks in Thermal Spray Coating Materials Could Help Protect Diagnostic Equipment at Pulsed Power Facilities

Evaluating Critical Microstructure Features for Shock Sensitivity at the Mesoscale

Understanding wall stresses in powder die compaction by novel experiments and coordinated modeling

Evaluating Critical Microstructure Features for Shock Sensitivity at the Mesoscale

Methods for Coupling a Lagrangian Discrete Element Sea Ice Model to an Eulerian Ocean Model

Shock State Distributions in Porous Tantalum Using Multipoint PDV

Examining Regional Sea Ice Dynamics Within the Nares Strait Using a Lagrangian Discrete Element Model for Sea Ice

LAMMPS - A flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales

Evaluating microstructure features for shock sensitivity at the mesoscale

Data Mining the Mesoscale to Study Shock Ignition and Reaction Growth in Pressed Energetic Materials

Enabling Particulate Materials Processing Science for High-Consequence, Small-Lot Precision Manufacturing

Using Deep Neural Networks to Predict Material Types in Conditional Point Sampling Applied to Markovian Mixture Models

Probing Sea Ice Mechanics with a Lagrangian Discrete Element Model for Sea Ice

Data mining the mesoscale to study shock ignition and reaction growth in pressed energetic materials

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

Mesostructure Evolution During Powder Compression: Micro-CT Experiments and Particle-Based Simulations

Fast Three Dimensional Rules-Based Simulation of Thermal Sprayed Microstructures

Simulation of Powder Bed Metal Additive Manufacturing Microstructures with Coupled Finite Difference-Monte Carlo Method

Using Deep Neural Networks to Predict Material Types in Conditional Point Sampling Applied to Markovian Mixture Models

Probing Sea Ice Mechanics with a Lagrangian Discrete Element Model for Sea Ice

Conservative Remap and Interpolation for the Discrete Element for Sea Ice Model

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

A Performance Portable Discrete Element Sea Ice Model

Mesostructure Evolution During Powder Compression: Micro-CT Experiments and Particle-Based Simulations

Granular packings with sliding, rolling, and twisting friction