
Stochastic Neural Network Approach for Learning High-Dimensional Free Energy Surfaces
Author(s) -
Elia Schneider,
Luke Dai,
Robert Q. Topper,
Christof Drechsel-Grau,
Mark E. Tuckerman
Publication year - 2017
Publication title -
physical review letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.688
H-Index - 673
eISSN - 1079-7114
pISSN - 0031-9007
DOI - 10.1103/physrevlett.119.150601
Subject(s) - computer science , artificial neural network , sampling (signal processing) , energy (signal processing) , event (particle physics) , rare events , artificial intelligence , stochastic neural network , statistical physics , deep neural networks , machine learning , recurrent neural network , physics , mathematics , statistics , filter (signal processing) , quantum mechanics , computer vision