Deciphering the Phillips Catalyst by Orbital Analysis and Supervised Machine Learning from Cr Pre-edge XANES of Molecular Libraries.


Journal

Journal of the American Chemical Society
ISSN: 1520-5126
Titre abrégé: J Am Chem Soc
Pays: United States
ID NLM: 7503056

Informations de publication

Date de publication:
19 May 2021
Historique:
pubmed: 12 5 2021
medline: 12 5 2021
entrez: 11 5 2021
Statut: ppublish

Résumé

Unveiling the nature and the distribution of surface sites in heterogeneous catalysts, and for the Phillips catalyst (CrO

Identifiants

pubmed: 33974429
doi: 10.1021/jacs.0c10791
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7326-7341

Auteurs

David Trummer (D)

Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, CH-8093 Zürich, Switzerland.

Keith Searles (K)

Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, CH-8093 Zürich, Switzerland.

Alexander Algasov (A)

The Smart Materials Research Institute, Southern Federal University, Sladkova 178/24, Rostov-on-Don, Russia, 344090.
Institute of Mathematics, Mechanics and Computer Science, Southern Federal University, Milchakova 8a, Rostov-on-Don, Russia, 344090.

Sergey A Guda (SA)

The Smart Materials Research Institute, Southern Federal University, Sladkova 178/24, Rostov-on-Don, Russia, 344090.
Institute of Mathematics, Mechanics and Computer Science, Southern Federal University, Milchakova 8a, Rostov-on-Don, Russia, 344090.

Alexander V Soldatov (AV)

The Smart Materials Research Institute, Southern Federal University, Sladkova 178/24, Rostov-on-Don, Russia, 344090.

Harry Ramanantoanina (H)

Paul-Scherrer-Institute, CH-5232 Villigen, Switzerland.

Olga V Safonova (OV)

Paul-Scherrer-Institute, CH-5232 Villigen, Switzerland.

Alexander A Guda (AA)

The Smart Materials Research Institute, Southern Federal University, Sladkova 178/24, Rostov-on-Don, Russia, 344090.

Christophe Copéret (C)

Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, CH-8093 Zürich, Switzerland.

Classifications MeSH