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Mitchell A. Wood
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Performance and cost assessment of machine learning interatomic potentials
Y Zuo, C Chen, X Li, Z Deng, Y Chen, J Behler, G Csányi, AV Shapeev, ...
The Journal of Physical Chemistry A 124 (4), 731-745, 2020
7032020
Extending the accuracy of the SNAP interatomic potential form
MA Wood, AP Thompson
The Journal of chemical physics 148 (24), 2018
2152018
Coupled thermal and electromagnetic induced decomposition in the molecular explosive αHMX; a reactive molecular dynamics study
MA Wood, ACT Van Duin, A Strachan
The Journal of Physical Chemistry A 118 (5), 885-895, 2014
1482014
Thermodynamically consistent physics-informed neural networks for hyperbolic systems
RG Patel, I Manickam, NA Trask, MA Wood, M Lee, I Tomas, EC Cyr
Journal of Computational Physics 449, 110754, 2022
1472022
Ultrafast chemistry under nonequilibrium conditions and the shock to deflagration transition at the nanoscale
MA Wood, MJ Cherukara, EM Kober, A Strachan
The Journal of Physical Chemistry C 119 (38), 22008-22015, 2015
1372015
Multiscale modeling of shock wave localization in porous energetic material
MA Wood, DE Kittell, CD Yarrington, AP Thompson
Physical Review B 97 (1), 014109, 2018
1152018
A physics-informed operator regression framework for extracting data-driven continuum models
RG Patel, NA Trask, MA Wood, EC Cyr
Computer Methods in Applied Mechanics and Engineering 373, 113500, 2021
1102021
Data-driven material models for atomistic simulation
MA Wood, MA Cusentino, BD Wirth, AP Thompson
Physical Review B 99 (18), 184305, 2019
692019
Explicit multielement extension of the spectral neighbor analysis potential for chemically complex systems
MA Cusentino, MA Wood, AP Thompson
The Journal of Physical Chemistry A 124 (26), 5456-5464, 2020
542020
Billion atom molecular dynamics simulations of carbon at extreme conditions and experimental time and length scales
K Nguyen-Cong, JT Willman, SG Moore, AB Belonoshko, R Gayatri, ...
Proceedings of the International Conference for High Performance Computing …, 2021
422021
Machine learning interatomic potential for simulations of carbon at extreme conditions
JT Willman, K Nguyen-Cong, AS Williams, AB Belonoshko, SG Moore, ...
Physical Review B 106 (18), L180101, 2022
372022
Data-driven magneto-elastic predictions with scalable classical spin-lattice dynamics
S Nikolov, MA Wood, A Cangi, JB Maillet, MC Marinica, AP Thompson, ...
npj Computational Materials 7 (1), 153, 2021
352021
Compositional and structural origins of radiation damage mitigation in high-entropy alloys
MA Cusentino, MA Wood, R Dingreville
Journal of Applied Physics 128 (12), 2020
322020
Training data selection for accuracy and transferability of interatomic potentials
D Montes de Oca Zapiain, MA Wood, N Lubbers, CZ Pereyra, ...
npj Computational Materials 8 (1), 189, 2022
282022
FitSNAP: Atomistic machine learning with LAMMPS
A Rohskopf, C Sievers, N Lubbers, MA Cusentino, J Goff, J Janssen, ...
Journal of Open Source Software 8 (84), 5118, 2023
272023
Quantum-accurate molecular dynamics potential for tungsten
MA Wood, AP Thompson
arXiv preprint arXiv:1702.07042, 2017
252017
JARVIS-Leaderboard: a large scale benchmark of materials design methods
K Choudhary, D Wines, K Li, KF Garrity, V Gupta, AH Romero, JT Krogel, ...
npj Computational Materials 10 (1), 93, 2024
21*2024
Efficacy of the radial pair potential approximation for molecular dynamics simulations of dense plasmas
LJ Stanek, RC Clay, MWC Dharma-Wardana, MA Wood, KRC Beckwith, ...
Physics of Plasmas 28 (3), 2021
212021
Sub-picosecond to sub-nanosecond vibrational energy transfer dynamics in pentaerythritol tetranitrate
NC Cole-Filipiak, R Knepper, M Wood, K Ramasesha
The Journal of Physical Chemistry Letters 11 (16), 6664-6669, 2020
212020
Molecular dynamics simulations of shock loading of materials: a review and tutorial
MA Wood, MJ Cherukara, E Antillon, A Strachan
Reviews in computational chemistry 30, 43-92, 2017
192017
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Artikler 1–20