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RESEARCH PAPER · Membranes · 2025

Machine Learning in the Design and Performance Prediction of Organic Framework Membranes: Methodologies, Applications, and Industrial Prospects

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42 direct citing works

Machine Learning in the Design and Performance Prediction of Organic Framework Membranes: Methodologies, Applications, and Industrial ProspectsOriginalAdvancing Carbon-Based Membrane Technologies for the Future0Nanochannel microenvironment engineering in covalent organic framework membranes for selective lithium separation: from confinement effects to active ion recognition0Membrane Technologies for Decarbonisation: Materials, Processes, and System-Level Insights2Advances in porous organic cage composites for next-generation water remediation and desalination1Membrane-based removal of pesticides from water: Health risk mitigation and AI-assisted modelling of critical factors governing membrane rejection2Enhancing Nanofiltration Membranes’ Performance for Desalination via Machine Learning: Modeling, Fouling Diagnosis and Prediction and Process Optimization0Transformational Catalytic Innovation Supports CO 2 Resource Utilization: Bridging Sustainability and Industrial Applications0Synergy at the nanoscale: MOF-polymer integration in thin-film nanocomposite membranes for advanced separation1Artificial intelligence for marine oil spill management: Recent advances and future directions1Toward next-generation antifouling membranes: A synergistic approach integrating thermodynamics, surface design, and machine learning0Generalizable and Transferable Machine Learning Enables Accelerated Metal–Organic Framework Discovery in Gas Separations0From Observability to Intervention in Purification: A Critical Framework for Digital Twins, Chemometrics, and Control Across Membranes, Adsorption, and Chromatography0Predicting water and salt permeance of polymeric desalination membranes using interpretable machine learning0The Digital Desalination Lab: Revolution or Overpromise?0Engineering next-generation separation membranes: From rational design to intelligent optimization0Reticular framework architectures for coagulation-flocculation and colloidal separation: Mechanistic insights, structure-performance correlation, and AI-guided discovery0Machine learning-guided design of engineered metal-organic frameworks for sustainable hydrogen storage and production0Integrated counter current separation and omics approaches for discovery of bioactive compounds from medicinal plants0

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18 direct citing papers saved.

  1. Advancing Carbon-Based Membrane Technologies for the Future

    Engineering materials · 2026-01-01

    M. David Domini Oppusunggu, Navilah Auva Hanandara, Nur Halimah, Januar Widakdo, Hairus Abdullah

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  2. Nanochannel microenvironment engineering in covalent organic framework membranes for selective lithium separation: from confinement effects to active ion recognition

    New Journal of Chemistry · 2026-01-01

    Anran Xia, Jiajing Feng, Zhu Liu, Xin Kai, Bing Sun

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  3. Membrane Technologies for Decarbonisation: Materials, Processes, and System-Level Insights

    Process Integration and Optimization for Sustainability · 2026-03-07

    Harshita Jain

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  4. Advances in porous organic cage composites for next-generation water remediation and desalination

    Materials Research Bulletin · 2026-03-17

    Divya Bajpai Tripathy, Pooja Agarwal, Subhalaxmi Pradhan

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  5. Membrane-based removal of pesticides from water: Health risk mitigation and AI-assisted modelling of critical factors governing membrane rejection

    Desalination · 2026-04-09

    Inara Fernandes Farah, Fabrício Eduardo Bortot Coelho, Carolina Rodrigues dos Santos, Maria Clara Ferreira Pinto, Lucilaine Valéria de Souza Santos, Míriam Cristina Santos Amaral

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  6. Enhancing Nanofiltration Membranes’ Performance for Desalination via Machine Learning: Modeling, Fouling Diagnosis and Prediction and Process Optimization

    Environmental sciences · 2026-04-30

    Azzam Abuhabib, Mohammad Zayyan, Ahmed M. Albahnasawi, Mohd Hafiz Puteh, Heba Isawi, Sofiah Hamzah

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  7. Transformational Catalytic Innovation Supports CO 2 Resource Utilization: Bridging Sustainability and Industrial Applications

    ChemistryOpen · 2026-05-01

    Xuexue Pan, Yi Zhao, Dinmukhambet Baimbetov, Yevgeniy Muralev, Samal Syrlybekkyzy, Berik Bakhytzhanovich Akhmetov, Saman Khosravi Haji, Qamar Abbas

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  8. Synergy at the nanoscale: MOF-polymer integration in thin-film nanocomposite membranes for advanced separation

    Desalination · 2026-05-08

    Fatemeh Bagri, Najmeh Sarvari, Mir Mehdi Zekavat, Milad Begri, Yaghoub Mansourpanah

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  9. Artificial intelligence for marine oil spill management: Recent advances and future directions

    Marine Environmental Research · 2026-05-12

    Ziyu Wang, Yawen Huang, Guorui Zhang, Zhihan Wang, Z Chen, Catherine Mulligan, S. Samuel Li, Maria Elektorowicz, Biao Li, Kenneth Lee, Chunjiang An

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  10. Toward next-generation antifouling membranes: A synergistic approach integrating thermodynamics, surface design, and machine learning

    Sustainable materials and technologies · 2026-06-17

    Md Emdad Hossain, Md. Al-Amin, Md Mehedi Hasan Apu, Mst. Nasrin Akhter, Asma Akter

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  11. Generalizable and Transferable Machine Learning Enables Accelerated Metal–Organic Framework Discovery in Gas Separations

    Environmental Science & Technology · 2026-07-02

    Meiqi Yang, Jianhao Qian, R L Wang, Menachem Elimelech

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  12. From Observability to Intervention in Purification: A Critical Framework for Digital Twins, Chemometrics, and Control Across Membranes, Adsorption, and Chromatography

    Purification · 2026-07-13

    Vasileios M. Pappas

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  13. Predicting water and salt permeance of polymeric desalination membranes using interpretable machine learning

    Euro-Mediterranean Journal for Environmental Integration · 2026-07-30

    Achraf Chahbi, Sanaa Rochd, Y. Ezaier, H. Dari, Meriem Korchi, Rachida Moultif, A. Hader, Iliass Tarras, Y. Boughaleb

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  14. The Digital Desalination Lab: Revolution or Overpromise?

    Chemistry Africa · 2026-08-18

    Ziad Moussa, Hatem M. Altass, Jan Mohammad Mir, Rabab Sharaf Jassas, A. Timoumi, Saleh A. Ahmed

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  15. Engineering next-generation separation membranes: From rational design to intelligent optimization

    Separation and Purification Technology · 2026-08-26

    Jinyue Yang, Chaofan Ma, Songqing Hu, Jingyue Wang

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  16. Reticular framework architectures for coagulation-flocculation and colloidal separation: Mechanistic insights, structure-performance correlation, and AI-guided discovery

    Separation and Purification Technology · 2026-09-03

    Asma Sohail, Badrul Mohamed Jan, Nazeri Abdul Rahman, Mahar Diana Hamid, Rabia Ikram

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  17. Machine learning-guided design of engineered metal-organic frameworks for sustainable hydrogen storage and production

    International Journal of Hydrogen Energy · 2026-09-18

    Sadegh Kaviani, Satyendra Kumar Satyarthi, Mkrtich Yeranosyan

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  18. Integrated counter current separation and omics approaches for discovery of bioactive compounds from medicinal plants

    Frontiers in Pharmacology · 2026-09-28

    Ananda Kumar Chettupalli, Priyanshu Pathak, Priya Sharma, Rajendra Kumar Jadi, Sunil Kumar Thota

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