NNAIMQ: a neural network model for predicting QTAIM charges

dc.contributor.author	Gallegos González, Miguel
dc.contributor.author	Guevara Vela, José Manuel
dc.contributor.author	Martín Pendás, Ángel
dc.date.accessioned	2022-10-25T11:10:09Z
dc.date.available	2022-10-25T11:10:09Z
dc.date.issued	2022
dc.identifier.citation	Journal of Chemical Physics, 156(1) (2022); doi:10.1063/5.0076896
dc.identifier.issn	0021-9606
dc.identifier.uri	http://hdl.handle.net/10651/65089
dc.description.sponsorship	The authors acknowledge the Spanish MICINN for financial support (Grant No. PGC2018-095953-B-I00). Miguel Gallegos specifically acknowledges the Spanish MICIU for the predoctoral grant (No. FPU19/02903).
dc.language.iso	eng
dc.relation.ispartof	Journal of chemical physics
dc.rights	© 2022 The authors. Published under an exclusive license by AIP Publishing
dc.rights	CC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123047297&doi=10.1063%2f5.0076896&partnerID=40&md5=bbe41ef82fae6cad7bf1a7b56b7905d0
dc.title	NNAIMQ: a neural network model for predicting QTAIM charges
dc.type	journal article
dc.identifier.doi	10.1063/5.0076896
dc.relation.projectID	MICINN/PGC2018-095953-B-I00
dc.relation.projectID	MICIU/FPU19/02903
dc.relation.publisherversion	http://dx.doi.org/10.1063/5.0076896
dc.rights.accessRights	open access
dc.type.hasVersion	AM

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