| Neural network reactive force field for C, H, N, and O systems P Yoo, M Sakano, S Desai, MM Islam, P Liao, A Strachan npj Computational Materials 7 (1), 9, 2021 | 56 | 2021 |
| Unsupervised learning-based multiscale model of thermochemistry in 1, 3, 5-trinitro-1, 3, 5-triazinane (RDX) MN Sakano, A Hamed, EM Kober, N Grilli, BW Hamilton, MM Islam, ... The Journal of Physical Chemistry A 124 (44), 9141-9155, 2020 | 45 | 2020 |
| Role of Molecular Disorder on the Reactivity of RDX M Sakano, B Hamilton, MM Islam, A Strachan The Journal of Physical Chemistry C 122 (47), 27032-27043, 2018 | 38 | 2018 |
| Chemistry under shock conditions BW Hamilton, MN Sakano, C Li, A Strachan Annual Review of Materials Research 51, 101-130, 2021 | 31 | 2021 |
| Predicted reaction mechanisms, product speciation, kinetics, and detonation properties of the insensitive explosive 2, 6-diamino-3, 5-dinitropyrazine-1-oxide (llm-105) BW Hamilton, BA Steele, MN Sakano, MP Kroonblawd, IFW Kuo, ... The Journal of Physical Chemistry A 125 (8), 1766-1777, 2021 | 23 | 2021 |
| Nitromethane Decomposition via Automated Reaction Discovery and an Ab Initio Corrected Kinetic Model J Ford, S Seritan, X Zhu, MN Sakano, MM Islam, A Strachan, TJ Martínez The Journal of Physical Chemistry A 125 (7), 1447-1460, 2021 | 23 | 2021 |
| Insight into the chemistry of PETN under shock compression through ultrafast broadband mid-infrared absorption spectroscopy MS Powell, MN Sakano, MJ Cawkwell, PR Bowlan, KE Brown, CA Bolme, ... The Journal of Physical Chemistry A 124 (35), 7031-7046, 2020 | 22 | 2020 |
| Neural network reactive force field for C, H, N, and O systems. npj Comput P Yoo, M Sakano, S Desai, MM Islam, P Liao, A Strachan Mater 7 (9.10), 1038, 2021 | 20 | 2021 |
| High-pressure and temperature neural network reactive force field for energetic materials BW Hamilton, P Yoo, MN Sakano, MM Islam, A Strachan The Journal of Chemical Physics 158 (14), 2023 | 7 | 2023 |
| Shock-induced hotspot formation in amorphous and crystalline 1, 3, 5, 7-tetranitro-1, 3, 5, 7-tetrazoctane (HMX): A molecular dynamics comparative study C Li, MN Sakano, A Strachan Journal of Applied Physics 130 (5), 2021 | 6 | 2021 |
| Unsupervised learning using dimensionality reduction via matrix decomposition MN Sakano, A Strachan Apr, 2020 | 5 | 2020 |
| Multiscale reactive model for 1, 3, 5-triamino-2, 4, 6-trinitrobenzene inferred by reactive MD simulations and unsupervised learning P Lafourcade, JB Maillet, J Roche, M Sakano, BW Hamilton, A Strachan The Journal of Physical Chemistry C 127 (31), 15556-15572, 2023 | 4 | 2023 |
| A coarse-grain reactive model of RDX: Molecular resolution at the ìm scale BH Lee, MN Sakano, JP Larentzos, JK Brennan, A Strachan The Journal of Chemical Physics 158 (2), 2023 | 3 | 2023 |
| Nanomaterial Mechanics Explorer ST Reeve, C Chow, MN Sakano, S Tang, A Belessiotis, M Wood, ... Go to reference in article, 2018 | 3 | 2018 |
| How plane are plane shock waves in solids Y Horie, D Kittell, M Sakano AIP Advances 13 (6), 2023 | 1 | 2023 |
| Understanding the decomposition processes of high-energy density materials MN Sakano Purdue University, 2021 | 1 | 2021 |
| Multiscale Framework for First-Principles Informed Continuum Constitutive Models M Wood, M Sakano, J Brown Bulletin of the American Physical Society 68, 2023 | | 2023 |
| Hydrocode Modeling of Detonation Failure in Vapor-Deposited Explosive Films with Explicit 3D Interfacial Roughness M Sakano, D Kittell, R Knepper, AS Tappan Bulletin of the American Physical Society 68, 2023 | | 2023 |
| Mesoscale Simulations on the Effects of Rate-Dependent Strength and the Shock-to-Detonation Behavior of Explosive Materials J Stewart, M Sakano, J Brown, M Wood, R Knepper, D Damm Bulletin of the American Physical Society 68, 2023 | | 2023 |
| Evaluating critical microstructure features for shock sensitivity at the mesoscale. M Sakano, J Brown, JM Hartig, D Bolintineanu, M Wood Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
