Topology-Determined Structural Genes Enable Data-Driven Discovery and Intelligent Design of Potential Metal Oxides for Inert C–H Bond Activation-Reference-Cited by-同舟云学术

Topology-Determined Structural Genes Enable Data-Driven Discovery and Intelligent Design of Potential Metal Oxides for Inert C–H Bond Activation

Published:2023-09-28 Issue:40 Volume:145 Page:21897-21903
ISSN:0002-7863
Container-title:Journal of the American Chemical Society
language:en
Short-container-title:J. Am. Chem. Soc.

Author:

Zhou Chuan¹^ORCID,Chen Chen¹,Hu P.¹²^ORCID,Wang Haifeng¹^ORCID

Affiliation:

1. State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Key Laboratory for Advanced Materials, Centre for Computational Chemistry and Research Institute of Industrial Catalysis, East China University of Science and Technology, Shanghai, 200237, China

2. School of Chemistry and Chemical Engineering, The Queen’s University of Belfast, Belfast, BT9 5AG, U.K.

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Colloid and Surface Chemistry,Biochemistry,General Chemistry,Catalysis

Link

https://pubs.acs.org/doi/pdf/10.1021/jacs.3c06166

Reference41 articles.

1. The Brønsted–Evans–Polanyi relation and the volcano curve in heterogeneous catalysis

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4. Active learning across intermetallics to guide discovery of electrocatalysts for CO2 reduction and H2 evolution

5. Computational Screening of 2D Materials and Rational Design of Heterojunctions for Water Splitting Photocatalysts

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