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Training atomic neural networks using fragment-based data generated in virtual reality (2020)

First Author: Amabilino S

Attributed to: Chemistry and Mathematics in Phase Space (CHAMPS) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1063/5.0015950

PubMed Identifier: 33092381

Publication URI: http://europepmc.org/abstract/MED/33092381

Type: Journal Article/Review

Parent Publication: The Journal of Chemical Physics

Issue: 15

ISSN: 0021-9606