Early-Stage Evaluation of Catalyst Using Machine Learning Based Modeling and Simulation of Catalytic Systems: Hydrogen Production via Water–Gas Shift over Pt Catalysts-Reference-Cited by-同舟云学术

Early-Stage Evaluation of Catalyst Using Machine Learning Based Modeling and Simulation of Catalytic Systems: Hydrogen Production via Water–Gas Shift over Pt Catalysts

Published:2022-10-25 Issue:44 Volume:10 Page:14417-14432
ISSN:2168-0485
Container-title:ACS Sustainable Chemistry & Engineering
language:en
Short-container-title:ACS Sustainable Chem. Eng.

Author:

Kim Changsu¹,Won Wangyun²^ORCID,Kim Jiyong¹^ORCID

Affiliation:

1. School of Chemical Engineering, Sungkyungkwan University, Suwon16419, Republic of Korea

2. Department of Chemical Engineering (Integrated Engineering), Kyung Hee University, Gyeonggi-do17104, Republic of Korea

Funder

National Research Foundation of Korea

Korea Institute of Energy Technology Evaluation and Planning

Publisher

American Chemical Society (ACS)

Subject

Renewable Energy, Sustainability and the Environment,General Chemical Engineering,Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acssuschemeng.2c03136

Reference44 articles.

1. Machine Learning for Catalysis Informatics: Recent Applications and Prospects

2. Machine Learning for Atomic Simulation and Activity Prediction in Heterogeneous Catalysis: Current Status and Future

3. Heterogeneous Catalysis: A Central Science for a Sustainable Future

4. Iron Catalysis in Reduction and Hydrometalation Reactions

5. A Pharmaceutical Industry Perspective on Sustainable Metal Catalysis

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