Solving the structure of “single-atom” catalysts using machine learning – assisted XANES analysis-Reference-Cited by-同舟云学术

Solving the structure of “single-atom” catalysts using machine learning – assisted XANES analysis

Author:

Xiang Shuting¹^ORCID,Huang Peipei²,Li Junying¹,Liu Yang¹,Marcella Nicholas¹,Routh Prahlad K.¹,Li Gonghu²^ORCID,Frenkel Anatoly I.¹³^ORCID

Affiliation:

1. Department of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York 11794, USA

2. Department of Chemistry, University of New Hampshire, Durham, New Hampshire 03824, USA

3. Chemistry Division, Brookhaven National Laboratory, Upton, New York 11973, USA

Abstract

Quantitative structural information of the single-atom catalyst was obtained by machine learning-assisted XANES data analysis.

Funder

National Science Foundation

U.S. Department of Energy

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

Reference67 articles.

5. J. P.Pradier and C.-M.Pradier , Carbon dioxide chemistry: environmental issues , Elsevier , 2014

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