Extending the Time Scales of Nonadiabatic Molecular Dynamics via Machine Learning in the Time Domain
Author:
Affiliation:
1. Department of Chemistry, University at Buffalo, The State University of New York, Buffalo, New York 14260-3000, United States
Funder
National Science Foundation
Publisher
American Chemical Society (ACS)
Subject
General Materials Science,Physical and Theoretical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.1c03823
Reference68 articles.
1. Modeling nonadiabatic dynamics in condensed matter materials: some recent advances and applications
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5. Different flavors of nonadiabatic molecular dynamics
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