Uncovering Structure–Conductivity Relationships in Anion Exchange Membranes (AEMs) Using Interpretable Machine Learning

Anion exchange membranes (AEMs) play a vital role in the performance of water electrolyzers and fuel cells, yet their discovery and optimization remain challenging due to the complexity of structure–property relationships. In this study, we introduce a machine learning framework that leverages condi...

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Prif Awduron:	Pegah Naghshnejad, Debojyoti Das, Jose A. Romagnoli, Revati Kumar, Jianhua Chen
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2025-12-01
Cyfres:	Membranes
Pynciau:	anion exchange membranes anion conductivity machine learning data driven modeling
Mynediad Ar-lein:	https://www.mdpi.com/2077-0375/16/1/12
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!