Hierarchical Machine Learning of Low-Resolution Coarse-Grained Free Energy Potentials
Author:
Affiliation:
1. U.S. Army DEVCOM Army Research Laboratory, Aberdeen Proving Ground, Maryland 21005, United States
Publisher
American Chemical Society (ACS)
Subject
Physical and Theoretical Chemistry,Computer Science Applications
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.3c00128
Reference106 articles.
1. Machine Learning for Molecular Simulation
2. Generalized Neural-Network Representation of High-Dimensional Potential-Energy Surfaces
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