析氧
材料科学
电催化剂
催化作用
合理设计
纳米技术
氧化物
工作(物理)
电化学
能量转换
可再生能源
卤化物
钙钛矿(结构)
电化学能量转换
储能
生化工程
氧气
格子(音乐)
摘要
ABSTRACT Electrochemical energy storage and conversion systems powered by renewables underpin the clean energy transition, yet sluggish oxygen evolution reaction (OER) severely limits energy efficiency, driving demand for efficient OER catalysts. Perovskites stand out for adjustable electronic structures and strong catalytic activity. High‐entropy perovskites (HEPs), with multiple principal lattice elements, gain stable phases from configurational entropy and favorable electronic states via multicomponent synergy, promising OER performance. However, their vast compositional range renders trial‐and‐error development ineffective, hindering structure–activity analysis and targeted catalyst design. Covering oxide and halide HEPs, this review summarizes advances in HEP OER catalysts over four aspects: synthetic routes, performance regulation, mechanistic analysis via computation, and AI‐driven rational design (covering material screening, descriptor mining, and activity prediction). Unlike prior reviews covering separate high‐entropy oxides, standard perovskites, or general AI catalysis, this work builds a closed logical loop for HEPs spanning synthesis, experiment, mechanism, and rational design. An outlook on AI‐assisted HEP electrocatalysis is offered to inform the development of advanced OER catalytic systems.
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