Review of Machine Learning for Hydrodynamics, Transport, and Reactions in Multiphase Flows and Reactors-Reference-Cited by-同舟云学术

Review of Machine Learning for Hydrodynamics, Transport, and Reactions in Multiphase Flows and Reactors

Published:2022-07-07 Issue:28 Volume:61 Page:9901-9949
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Zhu Li-Tao¹^ORCID,Chen Xi-Zhong²,Ouyang Bo¹,Yan Wei-Cheng³^ORCID,Lei He¹,Chen Zhe¹,Luo Zheng-Hong¹^ORCID

Affiliation:

1. Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China

2. Department of Chemical and Biological Engineering, University of Sheffield, Sheffield, S1 3JD, U.K.

3. School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China

Funder

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.2c01036

Reference355 articles.

1. Some Studies in Machine Learning Using the Game of Checkers

2. The promise of artificial intelligence in chemical engineering: Is it here, finally?

3. Advances of machine learning in molecular modeling and simulation

4. Machine Learning for Fluid Mechanics

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