Publications

Training Data Selection for Accuracy and Transferability of Interatomic Potentials

npj Computational Materials

David Montes de Oca Zapiain, Mitchell Wood, Nicholas Lubbers, Carlos Z. Pereyra, Aidan P. Thompson, Danny Perez4

Permutation-adapted complete and independent basis for atomic cluster expansion descriptors

James Michael Goff, Charles Sievers, Mitchell Wood, Aidan P. Thompson

https://www.osti.gov/search/identifier:1879613

Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory Complex Concentrated Alloys

Gordon Research Conference - Computational Materials Science and Engineering

Megan Jeanne McCarthy, Jacob Kyle Startt, Remi Philippe Michel Dingreville, Mitchell Wood

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

FitSNAP: Machine Learned Potentials for LAMMPS

Gordon Research Conference (Computational Materials Science and Engineering)

Andrew Dale Rohskopf, Charlie Sievers, Megan Jeanne McCarthy, James Michael Goff, Ember Layne Sikorski, Aidan P. Thompson, Mitchell Wood

Large-Scale Atomistic Simulations Investigate Expansion of Molten Metal 

Stan Gerald Moore, Mitchell Wood, Aidan P. Thompson

Permutation-Adapted Atomic Cluster Expansion Models

Gordon Research Conference on Comparing Theories, Algorithms and Computation Protocols in Materials Science and Engineering

James Michael Goff, Mitchell Wood, Aidan P. Thompson, Charles Sievers

Machine-Learned Interatomic Potential Development for W-ZrC for Nuclear Fusion

Gordon Research ConferenceComputational Materials Science and Engineering

Ember Layne Sikorski, Mary Alice Cusentino, Megan Jeanne McCarthy, Julien Tranchida, Mitchell Wood, Aidan P. Thompson

Sandia Update on SNAP Potential Development for Mixed Materials at the Divertor Surface

SciDAC-PSI Project Meeting

Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson

Multiscale Development of Predictive Constitutive Models to Resolve the Shock to Detonation Transition

22nd Biennial Conference of the APS Topical Group on Shock Compression of Condensed Matter (SHOCK22)

Michael Neil Sakano, Judith Alice Brown, Mitchell Wood

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

Elucidating size effects on the yield strength of single-crystal Cu via the Richtmyer-Meshkov instability

APS - Shock Compression of Condensed Matter Biannual Meeting

Mitchell Wood, James Allen Stewart, Joseph Olles

Training Machine Learned Interatomic Potentials for Chemical Complexity - Application to Refractory CCAs

The Minerals, Metals, and Materials Society (TMS) 2023 Annual Meeting and Exhibition

Megan Jeanne McCarthy, Jacob Kyle Startt, Remi Philippe Michel Dingreville, Aidan P. Thompson, Mitchell Wood

Examining the shock response of iron using molecular-spin dynamics

Gsccm

Svetoslav Valeriev Nikolov, Julien Tranchida, Attila Cangi, Kushal Ramakrishna, Mani Lokamani, Mitchell Wood

Building a new generation of multiscale materials models with machine-learned interatomic potentials

Machine Learning Deep Learning Workshop

Megan Jeanne McCarthy, Aidan P. Thompson, Mitchell Wood

Machine-Learned Interatomic Potential Development for H Trapping in ZrC strengthened W

Tms 2023

Ember Layne Sikorski, Mary Alice Cusentino, Megan Jeanne McCarthy, Julien Tranchida, Mitchell Wood, Aidan P. Thompson

Molecular Dynamics Simulations of Mixed Materials Effects in Tungsten

Tms 2023

Mary Alice Cusentino, Megan Jeanne McCarthy, Ember Layne Sikorski, Mitchell Wood, Aidan P. Thompson

Multiscale Development of Predictive Constitutive Models to Assess Critical Hotspots and Microstructure Sensitivity

Gordon Research Conference - Energetic Materials

Michael Neil Sakano, Judith Alice Brown, Mitchell Wood

Mode-Selective Vibrational Energy Transfer Dynamics

Gordon Research Conference - Energetic Materials

Mitchell Wood, Neil Charles Cole-Filipiak, Robert Knepper, Krupa Ramasesha

How nitrogen affects hydrogen adsorption on tungsten surfaces

25th International Conference on Plasma Surface Interactions in Controlled Fusion Devices

Chun-Shang Wong, Robert Kolasinski, Josh Whaley, Mary Alice Cusentino, Mitchell Wood, Brian Wirth, Aidan P. Thompson

Development of SNAP potential for ZrC strengthened W

25th International Conference on Plasma Surface Interaction in Controlled Fusion Devices

Ember Layne Sikorski, Julien Tranchida, Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson

Exploring refractory complex concentrated alloy behavior in the fusion reactor environment with a machine-learned interatomic potential

PSI-2525th International Conference on Plasma Surface Interaction in Controlled Fusion Devices

Megan Jeanne McCarthy, Jacob Kyle Startt, Remi Philippe Michel Dingreville, Mitchell Wood

Development of SNAP Potentials for Molecular Dynamics Modeling of Hydrogen and Nitrogen Interactions in Tungsten

25th International Conference on Plasma Surface Interaction in Controlled Fusion Devices

Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson

FitSNAP : Scalable Solutions for Training Machine Learned Interatomic Potentials

Advanced Materials Simulation Engineering Tool Workshop

Mitchell Wood

Machine-Learned Interatomic Potential Development for W-ZrC for Nuclear Fusion

Gordon Research ConferenceComputational Materials Science and Engineering

Ember Layne Sikorski, Mary Alice Cusentino, Megan Jeanne McCarthy, Julien Tranchida, Mitchell Wood, Aidan P. Thompson