Articles with public access mandates - Megan J. McCarthyLearn more
Available somewhere: 13
FitSNAP: Atomistic machine learning with LAMMPS
A Rohskopf, C Sievers, N Lubbers, M Cusentino, J Goff, J Janssen, ...
Journal of Open Source Software 8 (84), 5118, 2023
Mandates: US Department of Energy
Emergence of near-boundary segregation zones in face-centered cubic multiprincipal element alloys
MJ McCarthy, H Zheng, D Apelian, WJ Bowman, H Hahn, J Luo, SP Ong, ...
Physical Review Materials 5 (11), 113601, 2021
Mandates: US National Science Foundation
Shuffling mode competition leads to directionally anisotropic mobility of faceted Σ11 boundaries in fcc metals
MJ McCarthy, TJ Rupert
Physical Review Materials 4 (11), 113402, 2020
Mandates: US Department of Energy
Chemical order transitions within extended interfacial segregation zones in NbMoTaW
D Aksoy, MJ McCarthy, I Geiger, D Apelian, H Hahn, EJ Lavernia, J Luo, ...
Journal of Applied Physics 132 (23), 2022
Mandates: US National Science Foundation, US Department of Energy
Machine learned interatomic potential for dispersion strengthened plasma facing components
EL Sikorski, MA Cusentino, MJ McCarthy, J Tranchida, MA Wood, ...
The Journal of Chemical Physics 158 (11), 2023
Mandates: US Department of Energy
Emergence of directionally-anisotropic mobility in a faceted Ʃ11⟨ 110⟩ tilt grain boundary in Cu
MJ McCarthy, TJ Rupert
Modelling and Simulation in Materials Science and Engineering 28 (5), 055008, 2020
Mandates: US National Science Foundation
Alloying induces directionally-dependent mobility and alters migration mechanisms of faceted grain boundaries
MJ McCarthy, TJ Rupert
Scripta Materialia 194, 113643, 2021
Mandates: US Department of Energy
Exploring refractory complex concentrated alloy behavior in the fusion reactor environment with a machine-learned interatomic potential.
M McCarthy, J Startt, R Dingreville, A Thompson, M Wood
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
Mandates: US Department of Energy
Machine Learned Interatomic Potential Development of W-ZrC for Fusion Divertor Microstructure and Thermomechanical Properties.
E Sikorski, MA Cusentino, M McCarthy, J Tranchida, M Wood, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
Mandates: US Department of Energy
Molecular Dynamics Modeling of Hydrogen and Nitrogen Implantation in Tungsten Using Machine Learned Interatomic Potentials.
MA Cusentino, M McCarthy, E Sikorski, M Wood, A Thompson
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
Mandates: US Department of Energy
Building a new generation of multiscale materials models with machine-learned interatomic potentials.
M McCarthy, A Thompson, M Wood
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
Mandates: US Department of Energy
Training Machine Learned Interatomic Potentials for Chemical Complexity-Application to Refractory Complex Concentrated Alloys.
M McCarthy, J Startt, R Dingreville, M Wood
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
Mandates: US Department of Energy
Expediting the materials discovery process of MPEAs through atomistic modeling and machine learning techniques.
J Startt, M Wood, M McCarthy, A Kustas, S Donegan, R Dingreville
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
Mandates: US Department of Energy
Publication and funding information is determined automatically by a computer program