| 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 | 974 | 2020 |
| Extending the accuracy of the SNAP interatomic potential form MA Wood, AP Thompson The Journal of chemical physics 148 (24), 2018 | 276 | 2018 |
| 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 | 207 | 2022 |
| 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 | 182 | 2014 |
| 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 | 154 | 2015 |
| 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 | 150 | 2021 |
| 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 | 149 | 2018 |
| Data-driven material models for atomistic simulation MA Wood, MA Cusentino, BD Wirth, AP Thompson Physical Review B 99 (18), 184305, 2019 | 90 | 2019 |
| 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 | 72 | 2021 |
| 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 | 69 | 2020 |
| 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 | 67 | 2022 |
| 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 | 56 | 2023 |
| 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 | 53 | 2021 |
| 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 | 52* | 2022 |
| 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 | 45* | 2024 |
| 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 | 45 | 2020 |
| Quantum-accurate molecular dynamics potential for tungsten MA Wood, AP Thompson arXiv preprint arXiv:1702.07042, 2017 | 32 | 2017 |
| 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 | 27 | 2021 |
| 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 | 26 | 2020 |
| a latte to do C Back | 22* | 2008 |
Aidan ThompsonSandia National LaboratoriesVerified email at sandia.gov
