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Electrostatic Embedding of Machine Learning Potentials

[Image: see text] This work presents a variant of an electrostatic embedding scheme that allows the embedding of arbitrary machine learned potentials trained on molecular systems in vacuo. The scheme is based on physically motivated models of electronic density and polarizability, resulting in a gen...

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Detalles Bibliográficos
Autor principal: Zinovjev, Kirill
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061678/
https://www.ncbi.nlm.nih.gov/pubmed/36821513
http://dx.doi.org/10.1021/acs.jctc.2c00914