Machine Learning and Data Science in Chemical Engineering-Reference-Cited by-同舟云学术

Machine Learning and Data Science in Chemical Engineering

Published:2022-06-22 Issue:24 Volume:61 Page:8357-8358
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Gao Hanyu¹^ORCID,Zhu Li-Tao²^ORCID,Luo Zheng-Hong²^ORCID,Fraga Marco A.³^ORCID,Hsing I-Ming¹

Affiliation:

1. Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, People’s Republic of China

2. Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China

3. Instituto Nacional de Tecnologia − INT, Av. Venezuela, 82/518, Rio de Janeiro, RJ 20081-312, Brazil

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.2c01788

Reference30 articles.

1. Neural network as a tool for catalyst development

2. Machine Learning in Chemical Engineering: Strengths, Weaknesses, Opportunities, and Threats

3. Machine Learning in Computer-Aided Synthesis Planning

4. A robotic platform for flow synthesis of organic compounds informed by AI planning

5. Using Machine Learning To Predict Suitable Conditions for Organic Reactions

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