Publications

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

PSI-25 25th International Conference on Plasma Surface

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

Development of SNASP Machine Learned Interatomic Potentials for Materials in Extreme Environments

2021 MRS Fall Meeting

Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson

Development of SNAP Interatomic Potentials for Gas-Metal Interactions for Fusion Energy Materials

American Physical Society March Meeting

Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson

Development of Predictive Multiscale Constitutive Models for Pressed Energetic Materials to Resolve the Shock to Detonation Transition

APS March Meeting 2022

Michael Neil Sakano, Judith Alice Brown, Mitchell Wood

Machine Learning Interatomic Potentials: Training Data Selection for Accuracy and Transferability

APS March Meeting

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

Machine Learned Interatomic Potential Development for W-ZrC

APS March Meeting

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

Atomic Cluster Expansion Descriptors for Structural Dataset Analysis and Classification

APS March Meeting 2022

James Michael Goff, Mitchell Wood, Aidan P. Thompson

Scalable Solutions for Training Machine Learned Interatomic Potentials

American Physical Society March 2022 Meeting

Mitchell Wood, Charles Andrew Sievers, Danny Perez, Nicholas Lubbers, Aidan P. Thompson

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

American Physical Society, March Meeting 2021

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

Sandia / IBM Discussion on Machine Learning for Materials Applications

David John Littlewood, Mitchell Wood, David Montes de Oca Zapiain, Sivasankaran Rajamanickam, Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1828106

Development of SNAP Interatomic Potentials for Studying Mixed Materials Effects at the Tungsten Divertor

20th International Conference on Fusion Reactor Materials

Mary Alice Cusentino, Nathaniel S. Bobbitt, Mitchell Wood, Aidan P. Thompson

Mode-Selective Vibrational Energy Transfer Dynamics in 1,3,5-Trinitroperhydro-1,3,5-Triazine (RDX) Thin Films

Journal of Physical Chemistry A

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

https://www.osti.gov/search/identifier:1827618

LAMMPS Users Meeting 2021: Visualization Tutorial

LAMMPS Users Meeting 2021

Mitchell Wood

Interatomic Potentials for Materials Science and Beyond; Advances in Machine Learned Spectral Neighborhood Analysis Potentials

LAMMPS Users Conference

Mitchell Wood, Aidan P. Thompson, Mary Alice Cusentino, David Montes de Oca Zapiain, Ivan Oleynik

Development of SNAP Potentials for Fusion Reactor Materials

2021 Virtual LAMMPS Workshop and Symposium

Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson

Modal Operator Regression for Extracting Nonlocal Continuum Models

Usnccm16

Ravi Ghanshyam Patel, Nathaniel Albert Trask, Mitchell Wood, Eric Christopher Cyr

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

Expediting the materials discovery process of RHEAs through efficient coupling of high-throughput density functional theory, molecular dynamics and machine learning techniques

TMS Spring 2022 Conference

Jacob Kyle Startt, Mitchell Wood, Sean Donegan, Remi Philippe Michel Dingreville

Molecular Dynamics Simulations of Hydrogen and Nitrogen Implantation in Tungsten

TMS Annual Meeting 2022

Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson

Development of SNAP Machine Learned Interatomic Potentials for Materials in Extreme Environments

Materials Research Society Fall Meeting

Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson

Data-Driven Magneto-Elastic Predictions with Scalable Classical Spin-Lattice Dynamics

Invited seminar presentation at UCLA

Julien Guy Tranchida, Svetoslav Valeriev Nikolov, Mitchell Wood, Attila Cangi, Michael P. Desjarlais, Aidan P. Thompson

https://www.osti.gov/search/identifier:1870099

First-principles and classical computational study of W/ZrC interfaces

Plasma Facing Materials and Components for Fusion Applications

Julien Guy Tranchida, Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson

https://www.osti.gov/search/identifier:1866898

Nitrogen effects on hydrogen adsorption at tungsten surfaces

18th International Conference on Plasma-Facing Materials and Components for Fusion Applications

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

https://www.osti.gov/search/identifier:1866560

Molecular Dynamics Simulations of Hydrogen and Nitrogen on Tungsten Surfaces

18th International Conference on Plasma-Facing Materials and Components for Fusion Applications

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

https://www.osti.gov/search/identifier:1866199

Efficacy of the radial pair potential approximation for molecular dynamics simulations in warm dense plasmas

APS March Meeting 2021

Lucas James Stanek, Raymond C. Clay III, M.W.C. Dharma-wardana, Mitchell Wood, Kristian Beckwith, Michael S. Murillo

https://www.osti.gov/search/identifier:1856473