Machine Learning-Based Operational Modeling of an Electrochemical Reactor: Handling Data Variability and Improving Empirical Models-Reference-Cited by-同舟云学术

Machine Learning-Based Operational Modeling of an Electrochemical Reactor: Handling Data Variability and Improving Empirical Models

Author:

Luo Junwei¹,Canuso Vito¹,Jang Joon Baek¹,Wu Zhe²,Morales-Guio Carlos G.¹^ORCID,Christofides Panagiotis D.¹³^ORCID

Affiliation:

1. Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, California 90095, United States

2. Department of Chemical and Biomolecular Engineering, National University of Singapore, 117585, Singapore

3. Department of Electrical and Computer Engineering, University of California, Los Angeles, California 90095, United States

Funder

U.S. Department of Energy

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

Reference35 articles.

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