Description of Potential Energy Surfaces of Molecules Using FFLUX Machine Learning Models
Author:
Affiliation:
1. Manchester Institute of Biotechnology, The University of Manchester, Manchester M1 7DN, U.K.
2. School of Chemistry, The University of Manchester, Manchester M13 9PL, U.K.
Funder
Engineering and Physical Sciences Research Council
Publisher
American Chemical Society (ACS)
Subject
Physical and Theoretical Chemistry,Computer Science Applications
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.8b00806
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