Machine learning for the advancement of membrane science and technology: A critical review

G Ignacz, L Bader, AK Beke, Y Ghunaim… - Journal of Membrane …, 2024 - Elsevier
Abstract Machine learning (ML) has been rapidly transforming the landscape of natural
sciences and has the potential to revolutionize the process of data analysis and hypothesis …

Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation

R Dangayach, N Jeong, E Demirel, N Uzal… - Environmental …, 2024 - ACS Publications
Polymeric membranes have been widely used for liquid and gas separation in various
industrial applications over the past few decades because of their exceptional versatility and …

Influence of Donnan and dielectric exclusion on ion sorption in sulfonated polysulfones

SM Bannon, GM Geise - Journal of Membrane Science, 2024 - Elsevier
Abstract The Donnan–Manning model accurately describes the thermodynamic properties
(eg, ion sorption) of many charged polymers equilibrated with aqueous electrolytes, such as …

Graph-Based Modeling and Molecular Dynamics for Ion Activity Coefficient Prediction in Polymeric Ion-Exchange Membranes

P Naghshnejad, G Theis Marchan… - Industrial & …, 2024 - ACS Publications
The partitioning of ions between polymeric ion-exchange membranes (IEMs) and the
surrounding liquid is governed by the activity coefficients of the ions, which, in turn …

Machine Learning for Prediction and Synthesis of Anion Exchange Membranes

Y Yuan, P Fang, H Yuan, X Zou, Z Sun… - Accounts of Materials …, 2025 - ACS Publications
Conspectus Anion exchange membrane fuel cells (AEMFCs) and water electrolyzers
(AEMWEs) play a crucial role in the utilization and production of hydrogen energy, offering …

Machine learning accelerates high throughput design and screening of MOF mixed-matrix membranes towards He separation

J Wu, Y Guo, G Liu, G Liu, W ** - Journal of Membrane Science, 2025 - Elsevier
Helium (He) is a non-renewable resource and membrane technology shows great potential
for separating He from natural gas. Mixed matrix membrane (MMM) is a promising candidate …

Electrodialysis modeling for desalination and resource recovery

PS Senanayake, A Lugo, MF Ahmed, Z Stoll… - Current Opinion in …, 2025 - Elsevier
Highlights•Critical review of electrodialysis (ED) models and their respective
advantages.•ED modeling to enhance the performance of desalination and resource …

ACS Spotlight: Bipolar Membranes for Electrochemical Energy Conversion, Chemical Manufacturing, and Separations

T Kulkarni, B Yang, X Zhang, R Kumar… - ACS Applied Energy …, 2024 - ACS Publications
Sustainable energy conversion, chemical manufacturing, and separations are central to
addressing the world's energy and environmental challenges. Electrochemical platforms …

[HTML][HTML] Modification of e-CPA for estimating phase equilibria and development of predictive models for electrical conductivity in aqueous electrolyte solutions

A Roosta, N Rezaei - Chemical Engineering Science, 2024 - Elsevier
We modify the electrolyte cubic plus association equation of state (e-CPA EoS) and inetgrate
it with two electrical conductivity models to estimate the electrical conductivity of 11 …

[HTML][HTML] Machine learning for determination of activity of water and activity coefficients of electrolytes in binary solutions

G Zante - Artificial Intelligence Chemistry, 2024 - Elsevier
Activity of water and electrolytes in aqueous solutions is of utmost importance for multiple
industrial applications. However, experimental determination of such values is time …