Atomistic Insights into the Oxidation of Flat and Stepped Platinum Surfaces Using Large-Scale Machine Learning Potential-Based Grand-Canonical Monte Carlo-Reference-Cited by-同舟云学术

Atomistic Insights into the Oxidation of Flat and Stepped Platinum Surfaces Using Large-Scale Machine Learning Potential-Based Grand-Canonical Monte Carlo

Published:2022-11-22 Issue:24 Volume:12 Page:14812-14824
ISSN:2155-5435
Container-title:ACS Catalysis
language:en
Short-container-title:ACS Catal.

Author:

Xu Jiayan¹^ORCID,Xie Wenbo¹^ORCID,Han Yulan¹,Hu P.¹^ORCID

Affiliation:

1. School of Chemistry and Chemical Engineering, Queen’s University Belfast, BelfastBT9 5AG, U.K.

Funder

Ministry of Science and Technology of the People's Republic of China

China Scholarship Council

National Natural Science Foundation of China

Queen's University Belfast

Publisher

American Chemical Society (ACS)

Subject

Catalysis,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acscatal.2c03976

Reference96 articles.

1. Surface Chemistry of Late Transition Metal Oxides

2. Surface science under reaction conditions: CO oxidation on Pt and Pd model catalysts

3. CO Oxidation on Pt(110): Scanning Tunneling Microscopy Inside a High-Pressure Flow Reactor

4. Oxidation of Pt(110)

5. General Insight into CO Oxidation: A Density Functional Theory Study of the Reaction Mechanism on Platinum Oxides

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