Gaussian-Accelerated Molecular Dynamics with the Weighted Ensemble Method: A Hybrid Method Improves Thermodynamic and Kinetic Sampling
Author(s) -
Surl-Hee Ahn,
Anupam Anand Ojha,
Rommie E. Amaro,
J. Andrew McCammon
Publication year - 2021
Publication title -
journal of chemical theory and computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.001
H-Index - 185
eISSN - 1549-9626
pISSN - 1549-9618
DOI - 10.1021/acs.jctc.1c00770
Subject(s) - molecular dynamics , kinetic energy , gaussian , energy landscape , statistical physics , energy (signal processing) , computer science , sampling (signal processing) , biological system , potential energy , convergence (economics) , sample (material) , chemistry , physics , mathematics , thermodynamics , statistics , computational chemistry , quantum mechanics , filter (signal processing) , biology , economics , computer vision , economic growth
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