Machine learning for the advancement of membrane science and technology: A critical review
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 …
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
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 …
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
Abstract The Donnan–Manning model accurately describes the thermodynamic properties
(eg, ion sorption) of many charged polymers equilibrated with aqueous electrolytes, such as …
(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
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 …
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 …
(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
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 …
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 …
advantages.•ED modeling to enhance the performance of desalination and resource …
ACS Spotlight: Bipolar Membranes for Electrochemical Energy Conversion, Chemical Manufacturing, and Separations
Sustainable energy conversion, chemical manufacturing, and separations are central to
addressing the world's energy and environmental challenges. Electrochemical platforms …
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
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 …
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 …
industrial applications. However, experimental determination of such values is time …