[HTML][HTML] The roles of artificial intelligence techniques for increasing the prediction performance of important parameters and their optimization in membrane processes …

S Yuan, H Ajam, ZAB Sinnah, FMA Altalbawy… - Ecotoxicology and …, 2023 - Elsevier
Membrane-based separation processes has been recently of significant global interest
compared to other conventional separation approaches due to possessing undeniable …

Noninvasive real-time monitoring of wetting progression in membrane distillation using impedance spectroscopy

PW Wong, VMW Yim, J Guo, BS Chan… - Environmental …, 2021 - ACS Publications
Membrane distillation (MD) is a promising technology for the treatment of high salinity
wastewater using a hydrophobic membrane; however, the occurrence of wetting due to …

[HTML][HTML] Materials discovery of ion-selective membranes using artificial intelligence

R Maleki, SM Shams, YM Chellehbari… - Communications …, 2022 - nature.com
Significant attempts have been made to improve the production of ion-selective membranes
(ISMs) with higher efficiency and lower prices, while the traditional methods have drawbacks …

The intelligent prediction of membrane fouling during membrane filtration by mathematical models and artificial intelligence models

L Wang, Z Li, J Fan, Z Han - Chemosphere, 2023 - Elsevier
Recently, membrane separation technology has been widely utilized in filtration process
intensification due to its efficient performance and unique advantages, but membrane …

Membrane distillation for zero liquid discharge during treatment of wastewater from the industry of traditional Chinese medicine: A review

W Zhong, L Guo, C Ji, G Dong, S Li - Environmental Chemistry Letters, 2021 - Springer
Zero liquid discharge after treatment of industrial wastewater is a major goal to avoid
environmental pollution. For that, membrane distillation appears as an advanced technique …

Development of high flux nanofiltration membrane using para-amino benzoate ferroxane nanoparticle for enhanced antifouling behavior and dye removal

G Moradi, S Zinadini, L Rajabi - Process Safety and Environmental …, 2020 - Elsevier
In this work, para-amino benzoate ferroxane nanoparticle (PABFNP) was employed as a key
functional nanoparticle to improve the polyethersulfone (PES) nanofiltration membrane, and …

Physics-and image-based prediction of fluid flow and transport in complex porous membranes and materials by deep learning

S Kamrava, P Tahmasebi, M Sahimi - Journal of Membrane Science, 2021 - Elsevier
Although the morphology of porous membranes is the key factor in determining their flow,
transport and separation properties, a general relation between the morphology and the …

Research on the factors influencing nanofiltration membrane fouling and the prediction of membrane fouling

W Zheng, Y Chen, X Xu, X Peng, Y Niu, P Xu… - Journal of Water Process …, 2024 - Elsevier
The issue of membrane fouling poses a significant challenge to the extensive adoption of
nanofiltration membrane technology in public water supply systems. The occurrence of …

Membrane technology for energy saving: principles, techniques, applications, challenges, and prospects

AI Osman, Z Chen, AM Elgarahy… - Advanced Energy …, 2024 - Wiley Online Library
Membrane technology emerges as a transformative solution for global challenges, excelling
in water treatment, gas purification, and waste recycling. This comprehensive review …

Machine learning framework for modeling flocculation kinetics using non-intrusive dynamic image analysis

AO Bankole, R Moruzzi, RG Negri, A Bressane… - Science of The Total …, 2024 - Elsevier
The implementation of a machine learning (ML) model to improve both the effectiveness and
sustainability of the water treatment system is a significant challenge in the water sector, with …