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

Ignacz, Gergo; Bader, Lana; Beke, Aron K.; Ghunaim, Yasir; Shastry, Tejus; Vovusha, Hakkim; Carbone, Matthew R.; Ghanem, Bernard; Szekely, Gyorgy

doi:10.1016/j.memsci.2024.123256

Journal of Membrane Science

2025

DOI: 10.1016/j.memsci.2024.123256

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

Gergo Ignacz,

Lana Bader,

Aron K. Beke

et al.

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Cited by 5 publications

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

Cited by 5 publications

References 269 publications

Advancing high-performance nanofiltration membranes: Tailoring monomer molecular design to enhance diffusion-reaction synergy in interfacial polymerization

Advancing high-performance nanofiltration membranes: Tailoring monomer molecular design to enhance diffusion-reaction synergy in interfacial polymerization

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

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

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