Multimodal deep learning models incorporating the adsorption characteristics of the adsorbent for estimating the permeate flux in dynamic membranes-Reference-Cited by-同舟云学术

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Multimodal deep learning models incorporating the adsorption characteristics of the adsorbent for estimating the permeate flux in dynamic membranes

Published:2024-09 Issue: Volume:709 Page:123105
ISSN:0376-7388
Container-title:Journal of Membrane Science
language:en
Short-container-title:Journal of Membrane Science

Author:

Jeong Heewon,Yun Byeongchan,Na Seongyeon,Son Moon,Chae Sung Ho^ORCID,Kim Chang-Min^ORCID,Cho Kyung Hwa

Funder

Korea Ministry of Education

Korea Ministry of Science and ICT

Publisher

Elsevier BV

Reference66 articles.

1. Membrane processes enhanced by various forms of physical energy: a systematic review on mechanisms, implementation, application and energy efficiency;Shen;Sci. Total Environ.,2024

2. Fouling of high pressure-driven NF and RO membranes in desalination processes: mechanisms and implications on salt rejection;Mahlangu;Chem. Eng. Res. Des.,2023

3. A review on dynamic membrane filtration: materials, applications and future perspectives;Ersahin;Bioresour. Technol.,2012

4. Pre-deposited dynamic membrane filtration – a review;Anantharaman;Water Res.,2020

5. Reverse osmosis by dynamic membranes;Igawa;Desalination,1977

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