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dc.contributor.authorRayón Rico, Víctor Manuel 
dc.contributor.authorCabria Álvaro, Iván 
dc.date.accessioned2022-07-27T08:15:02Z
dc.date.available2022-07-27T08:15:02Z
dc.date.issued2022
dc.identifier.citationJournal of Computational Chemistry, 2022, vol. 43, n. 21, p. 1403-1419es
dc.identifier.issn0192-8651es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/54285
dc.descriptionProducción Científicaes
dc.description.abstractExperimental isotherms of N2 and CO2 on carbon-based porous materials and models of the physisorption of gases on surfaces are used to obtain the pore size distribution (PSD). An accurate modelization of the physisorption of N2 and CO2 on the surface of carbon-based porous materials is important to obtain accurate N2 and CO2 storage capacities and reliable PSDs. Physisorption depends on the dispersion interactions. High precision ab initio methods, such as CCSD(T), consider accurately the dispersion interactions, but they are computationally expensive. Double hybrid, hybrid and DFT-based methods are much less expensive. In the case of graphene, there are experimental data of the adsorption of N2 and CO2 on graphite that can be used to build the Steele interaction potential of these gases on graphene. The goal is to find out hybrid and/or DFT methods that are as accurate as the CCSD(T) on benzene and as accurate as the experimental results on graphene. Calculations of the interaction energy curves of N2 and CO2 on benzene and graphene have been carried out using the CCSD(T) method and several double hybrid, hybrid, and DFT methods that consider the dispersion interactions. The energy curves on benzene have been compared to the CCSD(T) and the energy curves on graphene have been compared with the Steele energy curves. The comparisons indicate that double hybrids with dispersion corrections and ωB97 based DFT methods are accurate enough for benzene. For graphene, only the PBE-XDM functional has a good agreement with the Steele energy curves.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherWileyes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.classificationDFTes
dc.subject.classificationDispersion interactionses
dc.subject.classificationGas storagees
dc.subject.classificationGraphenees
dc.subject.classificationPhysisorptiones
dc.subject.classificationPore size distributiones
dc.titleAssessment of density functional approximations for N2 and CO2 physisorption on benzene and graphenees
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2022 The Author(s)es
dc.identifier.doi10.1002/jcc.26945es
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/epdf/10.1002/jcc.26945es
dc.identifier.publicationfirstpage1403es
dc.identifier.publicationissue21es
dc.identifier.publicationlastpage1419es
dc.identifier.publicationtitleJournal of Computational Chemistryes
dc.identifier.publicationvolume43es
dc.peerreviewedSIes
dc.description.projectJunta de Castilla y León, (Grant VA124G18)es
dc.description.projectMinisterio de Ciencia e Innovación, (Grant PGC2018-093745-B-I00, PID2020-117742GB-I00)es
dc.identifier.essn1096-987Xes
dc.rightsAtribución 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dc.subject.unesco22 Físicaes
dc.subject.unesco23 Químicaes


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