Learning reaction coordinates via cross-entropy minimization: Application to alanine dipeptide.


Journal

The Journal of chemical physics
ISSN: 1089-7690
Titre abrégé: J Chem Phys
Pays: United States
ID NLM: 0375360

Informations de publication

Date de publication:
07 Aug 2020
Historique:
entrez: 11 8 2020
pubmed: 11 8 2020
medline: 9 2 2021
Statut: ppublish

Résumé

We propose a cross-entropy minimization method for finding the reaction coordinate from a large number of collective variables in complex molecular systems. This method is an extension of the likelihood maximization approach describing the committor function with a sigmoid. By design, the reaction coordinate as a function of various collective variables is optimized such that the distribution of the committor p

Identifiants

pubmed: 32770909
doi: 10.1063/5.0009066
doi:

Substances chimiques

Dipeptides 0
alanylalanine 2867-20-1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

054115

Auteurs

Yusuke Mori (Y)

Division of Chemical Engineering, Department of Materials Engineering Science, Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka 560-8531, Japan.

Kei-Ichi Okazaki (KI)

Institute for Molecular Science, Okazaki, Aichi 444-8585, Japan.

Toshifumi Mori (T)

Institute for Molecular Science, Okazaki, Aichi 444-8585, Japan.

Kang Kim (K)

Division of Chemical Engineering, Department of Materials Engineering Science, Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka 560-8531, Japan.

Nobuyuki Matubayasi (N)

Division of Chemical Engineering, Department of Materials Engineering Science, Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka 560-8531, Japan.

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Classifications MeSH