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 …
[HTML][HTML] A Comprehensive Review of AI Algorithms for Performance Prediction, Optimization, and Process Control in Desalination Systems.
Water scarcity is a global issue which is predicted to worsen in the upcoming decades. To
deal with this challenge, various desalination technologies have been deployed to produce …
deal with this challenge, various desalination technologies have been deployed to produce …
Multi-output machine learning for addressing the trade-off between water permeability and wetting resistance in membrane distillation
J Ma, H Xu, M Zhang, A Wang, M Ding - Desalination, 2024 - Elsevier
Membrane distillation (MD) has gained extensive attention for the desalination of
hypersaline brine. Nevertheless, the performance of MD is often hampered by the inherent …
hypersaline brine. Nevertheless, the performance of MD is often hampered by the inherent …
Ethanol mass transfer model of spiral-wound membrane module with PDMS membrane for pervaporation considering module structure parameters
W Liu, H Jiang, G Tang, L Liu, H Wen, Z Xiao… - Separation and …, 2025 - Elsevier
Pervaporation mass transfer model of spiral-wound membrane module with
polydimethylsiloxane (PDMS) membrane considering module structure parameters has …
polydimethylsiloxane (PDMS) membrane considering module structure parameters has …