Start
Entdecken
nav.journalClub
Trends
Mehr
synapse
⌘+K
Sprache
Deutsch
Optimizing water-salt separation performance and mechanistic analysis of TFNi nanofiltration membranes via explainable machine learning | Synapse
March 3, 2026
Optimizing water-salt separation performance and mechanistic analysis of TFNi nanofiltration membranes via explainable machine learning
RC
Ruonan Chang
Zhejiang A & F University
HG
Hao Guan
Zhejiang A & F University
XC
Xianhe Cai
North China University of Science and Technology
See all
Key Points
Performance optimization of TFNi membranes is crucial for efficient water-salt separation.
Explainable machine learning provides insights into the mechanisms driving membrane performance.
Adopting advanced analytic techniques leads to better design choices in membrane technology.
Enhanced water-salt separation can significantly impact environmental sustainability and resource management.
Mark Helpful
Like
Save
Bookmark
Relay
Share
Mark Helpful
Like
Save
Bookmark
Relay
Share
Cite This Study
Copy
Chang et al. (Wed,) studied this question.
synapsesocial.com/papers/69a76028c6e9836116a2c9fe
https://doi.org/https://doi.org/10.1016/j.desal.2026.119925