Iterative variational learning of committor-consistent transition pathways using artificial neural networks
- DOI
- 10.1038/s43588-025-00828-3
- Published
- 2025-06-30
- Container
- Nature Computational Science
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s43588-025-00828-3,
title = {Iterative variational learning of committor-consistent transition pathways using artificial neural networks},
author = {Alberto Megías and Sergio Contreras Arredondo and Cheng Giuseppe Chen and Chenyu Tang and Benoît Roux and Christophe Chipot},
year = {2025},
journal = {Nature Computational Science},
doi = {10.1038/s43588-025-00828-3},
url = {https://doi.org/10.1038/s43588-025-00828-3}
}RIS
TY - JOUR TI - Iterative variational learning of committor-consistent transition pathways using artificial neural networks AU - Alberto Megías AU - Sergio Contreras Arredondo AU - Cheng Giuseppe Chen AU - Chenyu Tang AU - Benoît Roux AU - Christophe Chipot PY - 2025 JO - Nature Computational Science DO - 10.1038/s43588-025-00828-3 UR - https://doi.org/10.1038/s43588-025-00828-3 ER -
APA
Megías, A., Arredondo, S. C., Chen, C. G., Tang, C., Roux, B., & Chipot, C. (2025). Iterative variational learning of committor-consistent transition pathways using artificial neural networks. Nature Computational Science. https://doi.org/10.1038/s43588-025-00828-3
Source records
- crossref · retrieved 2026-09-26T10:16:17.439Z