Computational chemistry for water-splitting electrocatalysis
Licheng Miao, Wenqi Jia, Xuejie Cao, Lifang Jiao
Nankai University Collaborative Innovation Center of Chemical Science and Engineering Tianjin
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摘要与影响
Electrocatalytic water splitting driven by renewable electricity has attracted great interest in recent years for producing hydrogen with high-purity. However, the practical applications of this technology are limited by the development of electrocatalysts with high activity, low cost, and long durability. In the search for new electrocatalysts, computational chemistry has made outstanding contributions by providing fundamental laws that govern the electron behavior and enabling predictions of electrocatalyst performance. This review delves into theoretical studies on electrochemical water-splitting processes. Firstly, we introduce the fundamentals of electrochemical water electrolysis and subsequently discuss the current advancements in computational methods and models for electrocatalytic water splitting. Additionally, a comprehensive overview of benchmark descriptors is provided to aid in understanding intrinsic catalytic performance for water-splitting electrocatalysts. Finally, we critically evaluate the remaining challenges within this field.
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工程Electrocatalysts for Energy Conversion
Machine Learning in Materials Science · Electrochemical Analysis and Applications
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