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Machine learning potentials for complex aqueous systems made simple. (2021)

First Author: Schran C

Attributed to: Support for the UKCP consortium funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1073/pnas.2110077118

PubMed Identifier: 34518232

Publication URI: http://europepmc.org/abstract/MED/34518232

Type: Journal Article/Review

Volume: 118

Parent Publication: Proceedings of the National Academy of Sciences of the United States of America

Issue: 38

ISSN: 0027-8424