Determining Ion Activity Coefficients in Ion-Exchange Membranes with Machine Learning and Molecular Dynamics Simulations-Reference-Cited by-同舟云学术

Determining Ion Activity Coefficients in Ion-Exchange Membranes with Machine Learning and Molecular Dynamics Simulations

Published:2023-06-08 Issue:24 Volume:62 Page:9533-9548
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Gallage Dona Hishara Keshani¹^ORCID,Olayiwola Teslim²^ORCID,Briceno-Mena Luis A.²^ORCID,Arges Christopher G.³^ORCID,Kumar Revati¹^ORCID,Romagnoli Jose A.²^ORCID

Affiliation:

1. Department of Chemistry, Louisiana State University, Baton Rouge, Louisiana 70803, United States

2. Cain Department of Chemical Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, United States

3. Department of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 160802, United States

Funder

Basic Energy Sciences

Universidad de Costa Rica

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.3c00636

Reference64 articles.

1. Imidazolium-Type Anion Exchange Membranes for Improved Organic Acid Transport and Permselectivity in Electrodialysis

2. Integrated Ion-Exchange Membrane Resin Wafer Assemblies for Aromatic Organic Acid Separations Using Electrodeionization

3. Electrochemical technologies for wastewater treatment and resource reclamation

4. Molecular Tuning of Redox‐Copolymers for Selective Electrochemical Remediation

5. Electrochemical remediation of perfluoroalkyl substances from water

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