Machine learning modeling in flow-electrode capacitive deionization system: Prediction of ion concentrations in flow-electrode aqueous electrolytes
Author:
Funder
Ulsan National Institute of Science and Technology
Korea Ministry of Environment
National Research Foundation of Korea
Publisher
Elsevier BV
Reference59 articles.
1. Improving the feasibility and applicability of flow-electrode capacitive deionization (FCDI): review of process optimization and energy efficiency;Shin;Desalination,2021
2. A comprehensive review on flow-electrode capacitive deionization: design, active material and environmental application;Yu;Sep. Purif. Technol.,2022
3. Short-circuited closed-cycle operation of flow-electrode CDI for brackish water softening;He;Environ. Sci. Technol.,2018
4. Desalination of a thermal power plant wastewater by membrane capacitive deionization;Lee;Desalination,2006
5. Ion-exchange membrane capacitive deionization: a new strategy for brackish water desalination;Li;Desalination,2011
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