Machine learning – Driven surface grafting of thin-film composite reverse osmosis (TFC-RO) membrane-Reference-Cited by-同舟云学术

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Machine learning – Driven surface grafting of thin-film composite reverse osmosis (TFC-RO) membrane

Published:2024-06 Issue: Volume:579 Page:117502
ISSN:0011-9164
Container-title:Desalination
language:en
Short-container-title:Desalination

Author:

Tayyebi Arash,Alshami Ali S.,Tayyebi Erfan,Buelke Chris,Talukder Musabbir Jahan,Ismail Nadhem,Al-Goraee Ashraf,Rabiei Zeinab,Yu Xue

Funder

American Membrane Technology Association

Bureau of Reclamation

National Institutes of Health

City of Grand Forks

Publisher

Elsevier BV

Reference76 articles.

1. A review on the synthesis of fully aromatic polyamide reverse osmosis membranes;Habib;Desalination,2021

2. RO system scaling with focus on the concentrate line: current challenges and potential solutions;Alshami;Desalination,2021

3. Graphene oxide membranes for enhancing water purification in terrestrial and space-born applications: state of the art;Buelke;Desalination,2018

4. Polyamide thin film nanocomposite membranes with in-situ integration of multiple functional nanoparticles for high performance reverse osmosis;Huo;J. Membr. Sci.,2023

5. Surface modification of nanofiltration membrane with kappa-carrageenan/graphene oxide for leachate wastewater treatment;Yadav;J. Membr. Sci.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stabilized oily-wastewater separation based on superhydrophilic and underwater superoleophobic ceramic membranes: Integrated experimental design and standalone machine learning algorithms;Journal of the Taiwan Institute of Chemical Engineers;2024-11

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