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Computation of photovoltaic and stability properties of hybrid organic–inorganic perovskites via convolutional neural networks
| dc.contributor.author | Aristizabal aFerreira, V. A. | |
| dc.contributor.author | Guevara Vela, J. M. | |
| dc.contributor.author | Sauza de la Vega, A. | |
| dc.contributor.author | Martín Pendás, Ángel | |
| dc.contributor.author | Fuentes Pineda, G. | |
| dc.contributor.author | Rocha Rinza, T. | |
| dc.date.accessioned | 2022-11-08T12:43:03Z | |
| dc.date.available | 2022-11-08T12:43:03Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Theoretical Chemistry Accounts: Theory, Computation, and Modeling, 141(4) (2022); doi:10.1007/s00214-022-02875-9 | |
| dc.identifier.issn | 1432-881X | |
| dc.identifier.uri | http://hdl.handle.net/10651/65398 | |
| dc.description.sponsorship | We 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.iso | eng | |
| dc.relation.ispartof | Theoretical Chemistry Accounts | |
| dc.rights | © 2022, The authors, under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127295104&doi=10.1007%2fs00214-022-02875-9&partnerID=40&md5=6dc831f51a084be6b21bf1eec23be03a | |
| dc.title | Computation of photovoltaic and stability properties of hybrid organic–inorganic perovskites via convolutional neural networks | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1007/s00214-022-02875-9 | |
| dc.relation.projectID | MICINN/PGC2018-095953-B-I00 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1007/s00214-022-02875-9 | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | AM |
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