Revolutionizing Membrane Design Using Machine Learning-Bayesian Optimization-Reference-Cited by-同舟云学术

Revolutionizing Membrane Design Using Machine Learning-Bayesian Optimization

Published:2021-12-30 Issue: Volume: Page:
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Gao Haiping¹^ORCID,Zhong Shifa¹^ORCID,Zhang Wenlong¹,Igou Thomas¹,Berger Eli¹,Reid Elliot¹,Zhao Yangying¹^ORCID,Lambeth Dylan¹,Gan Lan¹,Afolabi Moyosore A.¹,Tong Zhaohui²^ORCID,Lan Guanghui³,Chen Yongsheng¹^ORCID

Affiliation:

1. School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

2. School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

3. H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

Funder

U.S. Environmental Protection Agency

Division of Engineering Education and Centers

National Science Foundation

U.S. Department of Agriculture

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.1c04373

Reference53 articles.

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