Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Nonconservative Forces
- DOI
- 10.1021/acs.jctc.6c00653
- Published
- 2026-06-06
- Container
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jctc.6c00653,
title = {Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Nonconservative Forces},
author = {Nicolaï Gouraud and Côme Cattin and Thomas Plé and Olivier Adjoua and Louis Lagardère and Jean-Philip Piquemal},
year = {2026},
journal = {Journal of Chemical Theory and Computation},
doi = {10.1021/acs.jctc.6c00653},
url = {https://doi.org/10.1021/acs.jctc.6c00653}
}RIS
TY - JOUR TI - Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Nonconservative Forces AU - Nicolaï Gouraud AU - Côme Cattin AU - Thomas Plé AU - Olivier Adjoua AU - Louis Lagardère AU - Jean-Philip Piquemal PY - 2026 JO - Journal of Chemical Theory and Computation DO - 10.1021/acs.jctc.6c00653 UR - https://doi.org/10.1021/acs.jctc.6c00653 ER -
APA
Gouraud, N., Cattin, C., Plé, T., Adjoua, O., Lagardère, L., & Piquemal, J. (2026). Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Nonconservative Forces. Journal of Chemical Theory and Computation. https://doi.org/10.1021/acs.jctc.6c00653
Source records
- crossref · retrieved 2026-11-10T12:23:19.900Z