Charting the Atomic C Interaction with Transition Metal Surfaces

dc.contributor.author
Piqué, Oriol
dc.contributor.author
Koleva, Iskra Z.
dc.contributor.author
Bruix, Albert
dc.contributor.author
Viñes Solana, Francesc
dc.contributor.author
Aleksandrov, Hristiyan A.
dc.contributor.author
Vayssilov, Georgi N.
dc.contributor.author
Illas i Riera, Francesc
dc.date.issued
2023-02-03T17:46:25Z
dc.date.issued
2023-02-03T17:46:25Z
dc.date.issued
2022-07-15
dc.date.issued
2023-02-03T17:46:26Z
dc.identifier
2155-5435
dc.identifier
https://hdl.handle.net/2445/193038
dc.identifier
726734
dc.description.abstract
Carbon 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
14 p.
dc.format
application/pdf
dc.language
eng
dc.publisher
American Chemical Society
dc.relation
Reproducció del document publicat a: https://doi.org/10.1021/acscatal.2c01562
dc.relation
ACS Catalysis, 2022, vol. 12, num. 15, p. 9256-9269
dc.relation
https://doi.org/10.1021/acscatal.2c01562
dc.rights
cc-by (c) Piqué, Oriol et al. , 2022
dc.rights
http://creativecommons.org/licenses/by/3.0/es/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Ciència dels Materials i Química Física)
dc.subject
Carbó
dc.subject
Difusió
dc.subject
Metalls
dc.subject
Aprenentatge automàtic
dc.subject
Coal
dc.subject
Diffusion
dc.subject
Metals
dc.subject
Machine learning
dc.title
Charting the Atomic C Interaction with Transition Metal Surfaces
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion


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