Open AccessTransfer Learning from Markov Models Leads to Efficient Sampling of Related Systems
Author(s) -
Mohammad M. Sultan,
Vijay S. Pande
Publication year - 2017
Publication title -
the journal of physical chemistry b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.864
H-Index - 392
eISSN - 1520-6106
pISSN - 1520-5207
DOI - 10.1021/acs.jpcb.7b06896
Subject(s) - metadynamics , markov chain , computer science , sampling (signal processing) , benchmark (surveying) , molecular dynamics , artificial intelligence , statistical physics , biological system , chemistry , machine learning , physics , computational chemistry , filter (signal processing) , geography , computer vision , geodesy , biology
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