Unraveling the relationship between exposed surfaces and the photocatalytic activity of Ag3PO4: an in-depth theoretical investigation
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Other documents of the author: Lipsky, Felipe; da Silveira Lacerda, Luis Henrique; de Lazaro, Sergio Ricardo; Longo, Elson; Andres, Juan; San-Miguel, Miguel A.
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comunitat-uji-handle2:10234/7013
comunitat-uji-handle3:10234/8638
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INVESTIGACIONMetadata
Title
Unraveling the relationship between exposed surfaces and the photocatalytic activity of Ag3PO4: an in-depth theoretical investigationAuthor (s)
Date
2020Publisher
Royal Society of ChemistryISSN
2046-2069Bibliographic citation
LIPSKY, Felipe, et al. Unraveling the relationship between exposed surfaces and the photocatalytic activity of Ag 3 PO 4: an in-depth theoretical investigation. RSC Advances, 2020, vol. 10, núm. 51, p. 30640-30649Type
info:eu-repo/semantics/articleVersion
info:eu-repo/semantics/publishedVersionAbstract
Over the years, the possibility of using solar radiation in photocatalysis or photodegradation processes hasattracted remarkable interest from scientists around the world. In such processes, due to its electronicpro ... [+]
Over the years, the possibility of using solar radiation in photocatalysis or photodegradation processes hasattracted remarkable interest from scientists around the world. In such processes, due to its electronicproperties, Ag3PO4is one of the most important semiconductors. This work delves into thephotocatalytic activity, stability, and reactivity of Ag3PO4surfaces by comparing plane waves withprojector augmented wave and localized Gaussian basis set simulations, at the atomic level. The resultsindicate that the (110) surface, in agreement with previous experimental reports, displays the mostsuitable characteristics for photocatalytic activity due to its high reactivity,i.e.the presence of a largeamount of undercoordinated Ag cations and a high value work function. Beyond the innovative results,this work shows a good synergy between both kinds of DFT approaches. [-]
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RSC Advances, 2020, vol. 10, núm. 51, p. 30640-30649Investigation project
The authors acknowledge support from CAPES (PNPDProgram), CNPq, Fundaç ao Araucária (Financing Project 009/2017), and the LCAD (High-Performance Computing Labora-tory) from Ponta Grossa State University and their computa-tional facilities acquired by FINEP CT-INFRA/2013 support; theSao Paulo Research Foundation (FAPESP) for grants 2013/07296-2, 2016/23891-6 and 2020/03780-0. This work usedcomputational resources from Centro Nacional de Proc-essamento de Alto Desempenho em S ̃ao Paulo (CENAPAD-SP),Centro de Computaç ̃ao John David Rogers (CCJDR-UNICAMP),and CENAPAD-RJ (SDumont). J. Andres acknowledges Uni-versitat Jaume I for the project UJI-B2019-30 and Ministerio deCiencia, Innovaci ́on y Universidades (Spain) project PGC2018-094417-B-I00 for supporting this worknancially.Rights
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