Electronic-structure descriptor-guided design of high-entropy perovskites for efficient CO 2 electrolysis

Energy & Environmental Science 2026

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Authors: Nan Zhang, Caijin Xiao, Caijin Xiao, Beibei He, Xunxun Deng, Ling Zhao, Yida Deng
DOI: 10.1039/d6ee02221a
Cited by: 4
References: 48

Abstract

A descriptor-driven, interpretable machine learning framework enables rational design of high-entropy perovskite cathodes for efficient CO 2 electrolysis.

Fields of Study & Subjects

Advancements in Solid Oxide Fuel Cells CO2 Reduction Techniques and Catalysts Electrocatalysts for Energy Conversion

Publication details

Journal / source
Energy & Environmental Science
Publisher
Royal Society of Chemistry (RSC)
Volume
19
Issue
13
Pages
4222–4232
Publication date
1 January 2026
Language
EN