Predicting forward osmosis performance with synthesized polyamide-based membrane: An integrated machine learning (MATLAB and ANN) and economic analysis framework-Reference-Cited by-同舟云学术

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Predicting forward osmosis performance with synthesized polyamide-based membrane: An integrated machine learning (MATLAB and ANN) and economic analysis framework

Published:2024-03 Issue: Volume:444 Page:141285
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Singh Satish Kumar^ORCID,Sharma Chhaya^ORCID,Mahadeva Rajesh^ORCID,Patole Shashikant P.^ORCID,Maiti Abhijit^ORCID

Publisher

Elsevier BV

Reference53 articles.

1. Synthesis of polybenzimidazole (PBI) forward osmosis (FO) membrane and computational fluid dynamics (CFD) modeling of concentration gradient across membrane surface;Akther;Desalination,2019

2. Ce1-xCoxOy nanocatalysts: synthesis, characterization and environmental application;Anushree;Catal. Sci. Technol.,2016

3. Modeling of a forward osmosis and a pressure-retarded osmosis spiral wound module using the Spiegler-Kedem model and experimental validation;Attarde;Sep. Purif. Technol.,2016

4. Neural network based correlation for estimating water permeability constant in RO desalination process under fouling;Barello;Desalination,2014

5. Forward osmosis: principles, applications, and recent developments;Cath;J. Membr. Sci.,2006

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. Optimized preparation route for polyamide top-coated forward osmosis membrane for enhanced water flux using industrial wastewater as feed;Environmental Science and Pollution Research;2024-06-01

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