Indirect design of OCM catalysts through machine learning of catalyst surface oxygen species-Reference-Cited by-同舟云学术

Indirect design of OCM catalysts through machine learning of catalyst surface oxygen species

Published:2023 Issue:19 Volume:13 Page:5576-5581
ISSN:2044-4753
Container-title:Catalysis Science & Technology
language:en
Short-container-title:Catal. Sci. Technol.

Author:

Nishino Fumiya¹,Yoshida Hiroshi²^ORCID,Machida Masato³^ORCID,Nishimura Shun⁴^ORCID,Takahashi Keisuke⁵^ORCID,Ohyama Junya³^ORCID

Affiliation:

1. Department of Applied Chemistry and Biochemistry, Graduate School of Science and Technology, Kumamoto University, 2-39-1 Kurokami, Chuo-ku, Kumamoto, 860-8555, Japan

2. College of Science and Engineering, Kanazawa University, Kakuma-cho, Kanazawa, 920-1192, Japan

3. Faculty of Advanced Science and Technology, Kumamoto University, 2-39-1 Kurokami, Chuo-ku, Kumamoto, 860-8555, Japan

4. Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology (JAIST), 1-1 Asahidai, Nomi, 923-1292, Japan

5. Department of Chemistry, Hokkaido University, N-15 W-8, Sapporo, 060-0815, Japan

Abstract

Catalysts for oxidative coupling of methane (OCM) were designed through machine learning of a property of surface oxygen species on the basis of the knowledge that catalytic performance for the OCM is affected by catalyst surface oxygen species.

Funder

Core Research for Evolutional Science and Technology

Publisher

Royal Society of Chemistry (RSC)

Subject

Catalysis

Link

http://pubs.rsc.org/en/content/articlepdf/2023/CY/D3CY00587A

Reference22 articles.

1. Methane conversion into different hydrocarbons or oxygenates: current status and future perspectives in catalyst development and reactor operation

2. Statistical Analysis of Past Catalytic Data on Oxidative Methane Coupling for New Insights into the Composition of High-Performance Catalysts

3. High-Throughput Experimentation and Catalyst Informatics for Oxidative Coupling of Methane

4. Analysis of Updated Literature Data up to 2019 on the Oxidative Coupling of Methane Using an Extrapolative Machine‐Learning Method to Identify Novel Catalysts

5. Mn–Na2WO4/SiO2 as catalyst for the oxidative coupling of methane. What is really known?

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