Sodium citrate-modulated interfacial polymerization towards highly permeable NF membranes for simultaneously enhanced mineral/NOM selectivity and anti-fouling performance

Desalination, Год журнала: 2025, Номер 601, С. 118541 - 118541

Опубликована: Янв. 10, 2025

Язык: Английский

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Improving water flux distribution and energy efficiency in reverse osmosis for high-recovery water reuse

Desalination, Год журнала: 2024, Номер 585, С. 117779 - 117779

Опубликована: Май 24, 2024

Язык: Английский

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Enhanced removal of tetracycline from water using MgO-modified g-C3N4 composite: Synthesis optimization and mechanism investigation

Journal of Water Process Engineering, Год журнала: 2025, Номер 71, С. 107176 - 107176

Опубликована: Фев. 12, 2025

Язык: Английский

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Strengthening nanofiltration membrane: Strategies for enhanced antifouling performance

Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 160964 - 160964

Опубликована: Фев. 1, 2025

Язык: Английский

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In-situ polymerization of Polyp-phenylenediamine in graphene oxide membrane for antibiotic desalination

Separation and Purification Technology, Год журнала: 2025, Номер unknown, С. 132293 - 132293

Опубликована: Фев. 1, 2025

Язык: Английский

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

Environmental Science & Technology, Год журнала: 2024, Номер unknown

Опубликована: Дек. 16, 2024

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 high tunability. Traditional trial-and-error methods material synthesis are inadequate to meet growing demands high-performance membranes. Machine learning (ML) has demonstrated huge potential accelerate design discovery membrane materials. In this review, we cover strengths weaknesses traditional methods, followed by a discussion on emergence ML developing advanced polymeric We describe methodologies data collection, preparation, commonly models, explainable artificial intelligence (XAI) tools implemented research. Furthermore, explain experimental computational validation steps verify results provided these models. Subsequently, showcase successful case studies emphasize inverse methodology within ML-driven structured framework. Finally, conclude highlighting recent progress, challenges, future research directions advance next generation With aim provide comprehensive guideline researchers, scientists, engineers assisting implementation process.

Язык: Английский

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Bifunctionalized MOFs modified poly (aryl ether ketone sulfone) ultrafiltration membranes with high-efficient BSA separation and dye adsorption

Journal of Membrane Science, Год журнала: 2024, Номер 713, С. 123318 - 123318

Опубликована: Сен. 12, 2024

Язык: Английский

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Lactic acid separation technologies: Enhancing efficiency and purity using membrane separation technology (mini review)

Results in Chemistry, Год журнала: 2025, Номер unknown, С. 102280 - 102280

Опубликована: Апрель 1, 2025

Язык: Английский

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Sustainable Approach for Landfill Leachate Treatment through Dielectric Barrier Discharge/Ferrate (DBD/Fe(VI)) Enhanced Nanofiltration

Journal of Membrane Science, Год журнала: 2024, Номер 714, С. 123404 - 123404

Опубликована: Окт. 13, 2024

Язык: Английский

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Development of a Negatively Charged Polyether Sulfone Membrane Enriched with MIL-101(Cr)-Modified Magnetic Activated Pyrolytic Coke for Enhanced Dye Removal, Permeability, and Antifouling Properties

Journal of environmental chemical engineering, Год журнала: 2024, Номер 12(6), С. 114669 - 114669

Опубликована: Ноя. 5, 2024

Язык: Английский

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