Optimal Management Strategy for Salt Adsorption Capacity in Machine Learning-Based Flow-Electrode Capacitive Deionization Process-Reference-Cited by-同舟云学术

Optimal Management Strategy for Salt Adsorption Capacity in Machine Learning-Based Flow-Electrode Capacitive Deionization Process

Published:2024-07-17 Issue:8 Volume:4 Page:1937-1947
ISSN:2690-0645
Container-title:ACS ES&T Engineering
language:en
Short-container-title:ACS EST Eng.

Author:

Yu Sung Il¹,Jeon Junbeom²,Shin Yong-Uk¹^ORCID,Bae Hyokwan¹³^ORCID

Affiliation:

1. Department of Civil, Urban, Earth and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, Republic of Korea

2. Department of Civil and Environmental Engineering, Pusan National University, Busan 46241, Republic of Korea

3. Graduate School of Carbon Neutrality, Ulsan National Institute of Science and Technology, Ulsan 44919, Republic of Korea

Funder

Ulsan National Institute of Science and Technology

National Research Foundation of Korea

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsestengg.4c00142

Reference67 articles.

1. Desalination Freshens Up

2. Applications of capacitive deionization: Desalination, softening, selective removal, and energy efficiency

3. Faradaic Reactions in Water Desalination by Batch-Mode Capacitive Deionization

4. Statistical uncertainty quantification to augment CDI electrode design and operation optimization

5. Review on the science and technology of water desalination by capacitive deionization

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