Revisiting the Extended X-ray Absorption Fine Structure Fitting Procedure through a Machine Learning-Based Approach-Reference-Cited by-同舟云学术

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

Published:2021-08-05 Issue:32 Volume:125 Page:7080-7091
ISSN:1089-5639
Container-title:The Journal of Physical Chemistry A
language:en
Short-container-title:J. Phys. Chem. A

Author:

Martini A.¹²^ORCID,Bugaev A. L.¹³,Guda S. A.¹⁴^ORCID,Guda A. A.¹^ORCID,Priola E.²⁵^ORCID,Borfecchia E.²^ORCID,Smolders S.⁶,Janssens K.⁶^ORCID,De Vos D.⁶^ORCID,Soldatov A. V.¹

Affiliation:

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

2. Department of Chemistry, University of Torino, Via P. Giuria 7, 10125 Torino, Italy

3. Southern Scientific Centre, Russian Academy of Sciences, Chekhova 41, 344006 Rostov-on-Don, Russia

4. Institute of mathematics, mechanics and computer science, Southern Federal University, Milchakova 8a, 344090 Rostov-on-Don, Russia

5. CrisDi, Interdepartemental Center for Crystallography, University of Turin, Torino, Via P. Giuria 7, I-10125 Italy

6. Department of Microbial and Molecular Systems (M2S); Centre for Membrane separations, Adsorption, Catalysis and Spectroscopy for Sustainable Solutions (cMACS), KU Leuven, Celestijnenlaan 200F, Post box 2454, 3001 Leuven, Belgium

Funder

Russian Science Foundation

Russian Foundation for Basic Research

Fonds Wetenschappelijk Onderzoek

PRIN-2017 MOSCATo

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpca.1c03746

Reference60 articles.