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dc.contributor.authorda Silveira Lacerda, Luis Henrique
dc.contributor.authorLongo, Elson
dc.contributor.authorAndres, Juan
dc.contributor.authorSan-Miguel, Miguel A.
dc.date.accessioned2022-01-13T08:19:30Z
dc.date.available2022-01-13T08:19:30Z
dc.date.issued2021-10-18
dc.identifier.citationDA SILVEIRA LACERDA, Luis Henrique, et al. A diagnosis approach for semiconductor properties evaluation from ab initio calculations: Ag-based materials investigation. Journal of Solid State Chemistry, 2022, vol. 305, p. 122670.ca_CA
dc.identifier.issn0022-4596
dc.identifier.urihttp://hdl.handle.net/10234/196444
dc.description.abstractAg-based semiconductors have been extensively employed as photocatalysts for several decades due to their excellent electronic properties, photochemical properties, and relatively low synthesis cost. In this work, the α-Ag2WO4, β-Ag2WO4, γ-Ag2WO4, α-AgVO3, β-AgVO3, α-Ag2MoO4, β-Ag2MoO4, Ag2CrO4, and Ag3PO4 materials were systematically investigated by DFT/B3LYP calculations. The structural features were described by cations coordination, cluster distortion degree, and structure formers and modifiers. In turn, the evaluation of electronic properties indicates band gap values in the range of 2.54 ​eV–4.32 ​eV. The calculated density of charge carriers shows that the holes are the predominant charge carrier for all evaluated semiconductors, except for α-Ag2MoO4. The effective masses of charge carriers were also computed, and good stability for generated electrons and holes are expected for α- and β-Ag2WO4, α-AgVO3, β-AgVO3, β-Ag2MoO4, Ag2CrO4, and Ag3PO4 materials. Finally, the valence and conduction band edge potentials point to the Ag-based semiconductors as promising candidates for photocatalytic and biocide activities.ca_CA
dc.format.extent11 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherElsevierca_CA
dc.relation.isPartOfJournal of Solid State Chemistry 305 (2022) 122670ca_CA
dc.relation.urihttps://ars.els-cdn.com/content/image/1-s2.0-S0022459621007155-mmc1.docxca_CA
dc.rights© 2021 Elsevier Inc. All rights reserved.ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/ca_CA
dc.subjectelectronic structureca_CA
dc.subjectphotocatalysisca_CA
dc.subjectsemiconductorsca_CA
dc.subjectDFTca_CA
dc.subjectbiocideca_CA
dc.titleA diagnosis approach for semiconductor properties evaluation from ab initio calculations: Ag-based materials investigationca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1016/j.jssc.2021.122670
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.type.versioninfo:eu-repo/semantics/acceptedVersionca_CA
project.funder.nameSão Paulo Research Foundation (FAPESP)ca_CA
project.funder.nameCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)ca_CA
project.funder.nameNational Council for Scientific and Technological Development (CNPq)ca_CA
project.funder.nameUniversitat Jaume Ica_CA
project.funder.nameGeneralitat Valencianaca_CA
project.funder.nameMinisterio de Ciencia, Innovación y Universidades (Spain)ca_CA
oaire.awardNumber2013/07296-2ca_CA
oaire.awardNumber2016/23891-6ca_CA
oaire.awardNumber2017/26105-4ca_CA
oaire.awardNumber2020/03780-0ca_CA
oaire.awardNumber305792/2020-2ca_CA
oaire.awardNumberUJI-B2019-30ca_CA
oaire.awardNumberAICO2020ca_CA
oaire.awardNumberPGC2018- 094417-B-I00ca_CA


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