Generator of Neural Network Potential for Molecular Dynamics: Constructing Robust and Accurate Potentials with Active Learning for Nanosecond-Scale Simulations.
- DOI
- 10.1021/acs.jctc.4c01613
- Published
- 2025 Apr 22
- Container
- Journal of chemical theory and computation
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jctc.4c01613,
title = {Generator of Neural Network Potential for Molecular Dynamics: Constructing Robust and Accurate Potentials with Active Learning for Nanosecond-Scale Simulations.},
author = {Matsumura N and Yoshimoto Y and Yamazaki T and Amano T and Noda T and Ebata N and Kasano T and Sakai Y},
year = {2025},
journal = {Journal of chemical theory and computation},
doi = {10.1021/acs.jctc.4c01613},
url = {https://doi.org/10.1021/acs.jctc.4c01613}
}RIS
TY - JOUR TI - Generator of Neural Network Potential for Molecular Dynamics: Constructing Robust and Accurate Potentials with Active Learning for Nanosecond-Scale Simulations. AU - Matsumura N AU - Yoshimoto Y AU - Yamazaki T AU - Amano T AU - Noda T AU - Ebata N AU - Kasano T AU - Sakai Y PY - 2025 JO - Journal of chemical theory and computation DO - 10.1021/acs.jctc.4c01613 UR - https://doi.org/10.1021/acs.jctc.4c01613 ER -
APA
N, M., Y, Y., T, Y., T, A., T, N., N, E., T, K., & Y, S. (2025). Generator of Neural Network Potential for Molecular Dynamics: Constructing Robust and Accurate Potentials with Active Learning for Nanosecond-Scale Simulations.. Journal of chemical theory and computation. https://doi.org/10.1021/acs.jctc.4c01613
Source records
- pubmed · retrieved 2026-09-26T12:53:46.486Z
- europe-pmc · retrieved 2026-09-26T12:53:46.486Z