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dc.contributor.authorCholuj, Marta
dc.contributor.authorAlam, Mehboob
dc.contributor.authorBeerepoot, Maarten T. P.
dc.contributor.authorSitkiewicz, Sebastian P.
dc.contributor.authorMatito Gras, Eduard
dc.contributor.authorRuud, Kenneth
dc.contributor.authorZaleśny, Robert
dc.date.accessioned2022-02-10T11:13:15Z
dc.date.available2022-02-10T11:13:15Z
dc.date.issued2022-02-08
dc.identifier.citationJournal of chemical theory and computation 18(2) : 1046-1060 (2022)es_ES
dc.identifier.issn1549-9626
dc.identifier.urihttp://hdl.handle.net/10810/55415
dc.description.abstractWe present a benchmark study of density functional approximation (DFA) performances in predicting the two-photon-absorption strengths in pi-conjugated molecules containing electron-donating/-accepting moieties. A set of 48 organic molecules is chosen for this purpose, for which the two-photon-absorption (2PA) parameters are evaluated using different DFAs, including BLYP, PBE, B3LYP, PBE0, CAM-B3LYP, LC-BLYP, and optimally tuned LC-BLYP. Minnesota functionals and omegaB97X-D are also used, applying the two-state approximation, for a subset of molecules. The efficient resolution-of-identity implementation of the coupled-cluster CC2 model (RI-CC2) is used as a reference for the assessment of the DFAs. Two-state models within the framework of both DFAs and RI-CC2 are used to gain a deeper insight into the performance of different DFAs. Our results give a clear picture of the performance of the density functionals in describing the two-photon activity in dipolar pi-conjugated systems. The results show that global hybrids are best suited to reproduce the absolute values of 2PA strengths of donor-acceptor molecules. The range-separated functionals CAM-B3LYP and optimally tuned LC-BLYP, however, show the highest linear correlations with the reference RI-CC2 results. Hence, we recommend the latter DFAs for structure-property studies across large series of dipolar compounds.es_ES
dc.description.sponsorshipM.C. and R.Z. gratefully acknowledge support from the National Science Centre, Poland (Grant 2018/30/E/ST4/00457). M.M.A. acknowledges support from the Indian Institute of Technology Bhilai, India, through a Research Initiation Grant (IITBhilai/D/2258). M.T.P.B. and K.R. acknowledge support from the Research Council of Norway through a Centre of Excellence Grant (Grant 262695), and E.M. and S.P.S. acknowledge funding from the Spanish Ministry of Science (Grants MCIN/AEI/10.13039/501100011033, PGC2018- 098212-B-C21,EUR2019-103825 and "FEDER Una manera de hacer Europa") and the Basque Government/Eusko Jaurlaritza (GV/EJ) (Grants IT1254-19, PIBA19-0004, and 2019-CIEN-000092-01 and PRE_2020_2_0015). The authors thank Lizaveta Petrusevich for the preparation of the table of contents graphic. Computational resources generously provided by the Wrocław Center for Networking and Supercomputing are also acknowledged.es_ES
dc.language.isoenges_ES
dc.publisherAmerican Chemical Societyes_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/PGC2018- 098212-B-C21es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.titleChoosing Bad versus Worse: Predictions of Two-Photon-Absorption Strengths Based on Popular Density Functional Approximationses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder2022 The Authors. Published by American Chemical Society. Attribution 4.0 International (CC BY 4.0)es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://pubs.acs.org/doi/10.1021/acs.jctc.1c01056es_ES
dc.identifier.doi10.1021/acs.jctc.1c01056
dc.departamentoesPolímeros y Materiales Avanzados: Física, Química y Tecnologíaes_ES
dc.departamentoeuPolimero eta Material Aurreratuak: Fisika, Kimika eta Teknologiaes_ES


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2022 The Authors. Published by American Chemical Society. Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as 2022 The Authors. Published by American Chemical Society. Attribution 4.0 International (CC BY 4.0)