Revisiting the Extended X-ray Absorption Fine Structure Fitting Procedure through a Machine Learning-Based Approach.

Martini, A; Bugaev, A L; Guda, S A; Guda, A A; Priola, E; Borfecchia, E; Smolders, S; Janssens, K; De Vos, D; Soldatov, A V.

Afiliação

Martini A; The Smart Materials Research Institute, Southern Federal University, Sladkova 178/24, 344090 Rostov-on-Don, Russia.
Bugaev AL; Department of Chemistry, University of Torino, Via P. Giuria 7, 10125 Torino, Italy.
Guda SA; The Smart Materials Research Institute, Southern Federal University, Sladkova 178/24, 344090 Rostov-on-Don, Russia.
Guda AA; Southern Scientific Centre, Russian Academy of Sciences, Chekhova 41, 344006 Rostov-on-Don, Russia.
Priola E; The Smart Materials Research Institute, Southern Federal University, Sladkova 178/24, 344090 Rostov-on-Don, Russia.
Borfecchia E; Institute of mathematics, mechanics and computer science, Southern Federal University, Milchakova 8a, 344090 Rostov-on-Don, Russia.
Smolders S; The Smart Materials Research Institute, Southern Federal University, Sladkova 178/24, 344090 Rostov-on-Don, Russia.
Janssens K; Department of Chemistry, University of Torino, Via P. Giuria 7, 10125 Torino, Italy.
De Vos D; CrisDi, Interdepartemental Center for Crystallography, University of Turin, Torino, Via P. Giuria 7, I-10125 Italy.
Soldatov AV; Department of Chemistry, University of Torino, Via P. Giuria 7, 10125 Torino, Italy.

J Phys Chem A ; 125(32): 7080-7091, 2021 Aug 19.

Article em En | MEDLINE | ID: mdl-34351779

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article