Cover Feature: Unsupervised Machine Learning-Derived Anion-Exchange Membrane Polymers Map: A Guideline for Polymers Exploration and Design (ChemElectroChem 14/2024)

Abstract

The cover feature illustrates an anion exchange membrane (AEM) material map, visually summarizing the relationship between chemical structure and anion conductivity of currently reported AEMs. This map allows researchers to identify promising regions for high-performing AEM, and then design next generation polymer structure by pinpointing structural features associated with superior conductivity. Consequently, through this map, researchers can gain insights into tailoring new AEM structures for optimized performance by studying the positions of well-performing AEMs. More information can be found in the Research Article by Tsuyohiko Fujigaya, Koichiro Kato, and co-workers (DOI: 10.1002/celc.202400252).