Using scientific machine learning to develop universal differential equation for multicomponent adsorption separation systems-Reference-Cited by-同舟云学术

Using scientific machine learning to develop universal differential equation for multicomponent adsorption separation systems

Published:2022-07-10 Issue:9 Volume:100 Page:2279-2290
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can J Chem Eng

Author:

B. R. Nogueira Idelfonso¹²^ORCID,V. Santana Vinicius¹²,Ribeiro Ana M.¹²,Rodrigues Alírio E.¹²

Affiliation:

1. Laboratory of Separation and Reaction Engineering, Associate Laboratory LSRE/LCM Department of Chemical Engineering Faculty of Engineering, University of Porto Porto Portugal

2. ALiCE—Associate Laboratory in Chemical Engineering, Faculty of Engineering University of Porto Porto Portugal

Publisher

Wiley

Subject

General Chemical Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjce.24495

Reference22 articles.

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

2. Adsorption isotherm models: Classification, physical meaning, application and solving method

3. A hybrid neural network-first principles approach to process modeling

4. Semi-mechanistic modeling of chemical processes with neural networks

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