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Bayesian learning of chemisorption for bridging the complexity of electronic descriptors

Building upon the d-band reactivity theory in surface chemistry and catalysis, we develop a Bayesian learning approach to probing chemisorption processes at atomically tailored metal sites. With representative species, e.g., *O and *OH, Bayesian models trained with ab initio adsorption properties of...

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Dades bibliogràfiques
Publicat a:Nat Commun
Autors principals: Wang, Siwen, Pillai, Hemanth Somarajan, Xin, Hongliang
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2020
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7705683/
https://ncbi.nlm.nih.gov/pubmed/33257689
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-19524-z
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