Project ID: plumID:19.060
Name: Neural networks-based variationally enhanced sampling
Keywords: ves, neural networks
PLUMED version: 2.5-mod
Contributor: Luigi Bonati
Submitted on: 01 Aug 2019
Last revised: 19 Aug 2019
Publication: L. Bonati, Y.-Y. Zhang, M. Parrinello, Neural networks-based variationally enhanced sampling, Proceedings of the National Academy of Sciences 116, 17641–17647 (2019)
PLUMED input files
Last tested: 12 May 2021, 10:16:14
Project description and instructions
Code, input files, and example results of the DEEP-VES method, as presented in the paper Neural networks-based variationally enhanced sampling. More information about the content can be found here. Please note that the code requires LibTorch to work. As of now it is provided without documentation since we are still working on it. We plan to release it in PLUMED soon.
[v1] 01 Aug 2019: original submission
[v2] 19 Aug 2019: updated doi
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