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Computation of photovoltaic and stability properties of hybrid organic–inorganic perovskites via convolutional neural networks

dc.contributor.authorAristizabal aFerreira, V. A.
dc.contributor.authorGuevara Vela, J. M.
dc.contributor.authorSauza de la Vega, A.
dc.contributor.authorMartín Pendás, Ángel 
dc.contributor.authorFuentes Pineda, G.
dc.contributor.authorRocha Rinza, T.
dc.date.accessioned2022-11-08T12:43:03Z
dc.date.available2022-11-08T12:43:03Z
dc.date.issued2022
dc.identifier.citationTheoretical Chemistry Accounts: Theory, Computation, and Modeling, 141(4) (2022); doi:10.1007/s00214-022-02875-9
dc.identifier.issn1432-881X
dc.identifier.urihttp://hdl.handle.net/10651/65398
dc.description.sponsorshipWe acknowledge financial support from CONACyT/Mexico (grant 596648/738983). We are also thankful to DGTIC-UNAM (grant LANCAT-UNAM-DGTIC-250) for computer time and AMP is grateful to Spanish MICINN for funding (grant PGC2018-095953-B-I00).
dc.language.isoeng
dc.relation.ispartofTheoretical Chemistry Accounts
dc.rights© 2022, The authors, under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85127295104&doi=10.1007%2fs00214-022-02875-9&partnerID=40&md5=6dc831f51a084be6b21bf1eec23be03a
dc.titleComputation of photovoltaic and stability properties of hybrid organic–inorganic perovskites via convolutional neural networks
dc.typejournal article
dc.identifier.doi10.1007/s00214-022-02875-9
dc.relation.projectIDMICINN/PGC2018-095953-B-I00
dc.relation.publisherversionhttp://dx.doi.org/10.1007/s00214-022-02875-9
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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