Charting the Atomic C Interaction with Transition Metal Surfaces

dc.contributor.authorPiqué, Oriol
dc.contributor.authorKoleva, Iskra Z.
dc.contributor.authorBruix, Albert
dc.contributor.authorViñes Solana, Francesc
dc.contributor.authorAleksandrov, Hristiyan A.
dc.contributor.authorVayssilov, Georgi N.
dc.contributor.authorIllas i Riera, Francesc
dc.date.accessioned2023-02-03T17:46:25Z
dc.date.available2023-02-03T17:46:25Z
dc.date.issued2022-07-15
dc.date.updated2023-02-03T17:46:26Z
dc.description.abstractCarbon interaction with transition metal (TM) surfaces is a relevant topic in heterogeneous catalysis, either for its poisoning capability, for the recently attributed promoter role when incorporated in the subsurface, or for the formation of early TM carbides, which are increasingly used in catalysis. Herein, we present a high-throughput systematic study, adjoining thermodynamic plus kinetic evidence obtained by extensive density functional calculations on surface models (324 diffusion barriers located on 81 TM surfaces in total), which provides a navigation map of these interactions in a holistic fashion. Correlation between previously proposed electronic descriptors and ad/absorption energies has been tested, with the d-band center being found the most suitable one, although machine learning protocols also underscore the importance of the surface energy and the site coordination number. Descriptors have also been tested for diffusion barriers, with ad/absorption energies and the difference in energy between minima being the most appropriate ones. Furthermore, multivariable, polynomial, and random forest regressions show that both thermodynamic and kinetic data are better described when using a combination of different descriptors. Therefore, looking for a single perfect descriptor may not be the best quest, while combining different ones may be a better path to follow.
dc.format.extent14 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec726734
dc.identifier.issn2155-5435
dc.identifier.urihttps://hdl.handle.net/2445/193038
dc.language.isoeng
dc.publisherAmerican Chemical Society
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1021/acscatal.2c01562
dc.relation.ispartofACS Catalysis, 2022, vol. 12, num. 15, p. 9256-9269
dc.relation.urihttps://doi.org/10.1021/acscatal.2c01562
dc.rightscc-by (c) Piqué, Oriol et al. , 2022
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.sourceArticles publicats en revistes (Ciència dels Materials i Química Física)
dc.subject.classificationCarbó
dc.subject.classificationDifusió
dc.subject.classificationMetalls
dc.subject.classificationAprenentatge automàtic
dc.subject.otherCoal
dc.subject.otherDiffusion
dc.subject.otherMetals
dc.subject.otherMachine learning
dc.titleCharting the Atomic C Interaction with Transition Metal Surfaces
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

Fitxers

Paquet original

Mostrant 1 - 1 de 1
Carregant...
Miniatura
Nom:
726734.pdf
Mida:
4.65 MB
Format:
Adobe Portable Document Format