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Charting the Atomic C Interaction with Transition Metal Surfaces
[Image: see text] 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 increasing...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9880994/ https://www.ncbi.nlm.nih.gov/pubmed/36718273 http://dx.doi.org/10.1021/acscatal.2c01562 |
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author | Piqué, Oriol Koleva, Iskra Z. Bruix, Albert Viñes, Francesc Aleksandrov, Hristiyan A. Vayssilov, Georgi N. Illas, Francesc |
author_facet | Piqué, Oriol Koleva, Iskra Z. Bruix, Albert Viñes, Francesc Aleksandrov, Hristiyan A. Vayssilov, Georgi N. Illas, Francesc |
author_sort | Piqué, Oriol |
collection | PubMed |
description | [Image: see text] 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. |
format | Online Article Text |
id | pubmed-9880994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-98809942023-01-28 Charting the Atomic C Interaction with Transition Metal Surfaces Piqué, Oriol Koleva, Iskra Z. Bruix, Albert Viñes, Francesc Aleksandrov, Hristiyan A. Vayssilov, Georgi N. Illas, Francesc ACS Catal [Image: see text] 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. American Chemical Society 2022-07-15 /pmc/articles/PMC9880994/ /pubmed/36718273 http://dx.doi.org/10.1021/acscatal.2c01562 Text en © 2022 American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Piqué, Oriol Koleva, Iskra Z. Bruix, Albert Viñes, Francesc Aleksandrov, Hristiyan A. Vayssilov, Georgi N. Illas, Francesc Charting the Atomic C Interaction with Transition Metal Surfaces |
title | Charting the Atomic
C Interaction with Transition
Metal Surfaces |
title_full | Charting the Atomic
C Interaction with Transition
Metal Surfaces |
title_fullStr | Charting the Atomic
C Interaction with Transition
Metal Surfaces |
title_full_unstemmed | Charting the Atomic
C Interaction with Transition
Metal Surfaces |
title_short | Charting the Atomic
C Interaction with Transition
Metal Surfaces |
title_sort | charting the atomic
c interaction with transition
metal surfaces |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9880994/ https://www.ncbi.nlm.nih.gov/pubmed/36718273 http://dx.doi.org/10.1021/acscatal.2c01562 |
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