z-logo
open-access-imgOpen Access
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom