Proceedings of the 2023 9th International Conference on Humanities and Social Science Research (ICHSSR 2023)

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The Application of Machine Learning in Chemical Engineering: A Literature Review

Authors
Baiyu Lu1, *
1Department of Chemical Engineering, Guangdong Technion - Israel Institute of Technology, Shantou, China
*Corresponding author. Email: baiyu.lu@gtiit.edu.cn
Corresponding Author
Baiyu Lu
Available Online 9 September 2023.
DOI
10.2991/978-2-38476-092-3_9How to use a DOI?
Keywords
Chemical engineering; Machine Learning
Abstract

In chemical engineering research, to develop a Physico-chemical model is expensive. Also, it’s very difficult for a computationally tractable model to perfectly describe many complex phenomena. Nowadays, machine learning can learn complicated behavior. Also, the development of its model is more economical. Machine learning offers significant advantages over traditional modeling techniques, including flexibility, accuracy, and speed of execution. This paper conducted a literature review in the application of machine learning (ML) in chemical engineering (CE). Four questions were being researched. What are the CE fields that ML applied mostly to? For what purposes is ML used in CE research? What are the algorithms that are mostly used in CE research? What are the difficulties of these applications? After examining 48 papers, the conclusion was that chemical process engineering was the field ML was applied mostly, the primary purposes for applying ML algorithms in CE were prediction and optimization, Artificial Neural Network was the most used algorithm in CE research, and the limited application field was the main existing difficulty. This paper can be a groundwork for future CE and ML research efforts as a result of these findings.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 9th International Conference on Humanities and Social Science Research (ICHSSR 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
9 September 2023
ISBN
978-2-38476-092-3
ISSN
2352-5398
DOI
10.2991/978-2-38476-092-3_9How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Baiyu Lu
PY  - 2023
DA  - 2023/09/09
TI  - The Application of Machine Learning in Chemical Engineering: A Literature Review
BT  - Proceedings of the 2023 9th International Conference on Humanities and Social Science Research (ICHSSR 2023)
PB  - Atlantis Press
SP  - 57
EP  - 66
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-092-3_9
DO  - 10.2991/978-2-38476-092-3_9
ID  - Lu2023
ER  -