过渡金属基硫族化合物作为水全面分解的电催化剂

IF 4.3 Q2 ENGINEERING, CHEMICAL ACS Engineering Au Pub Date : 2023-07-25 DOI:10.1021/acsengineeringau.3c00014
Kartick Chandra Majhi*,  and , Mahendra Yadav, 
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引用次数: 0

摘要

氢是能源经济的关键组成部分,电化学水分解是替代广泛使用的化石燃料的重要策略之一。寻找高效的电催化剂用于水裂解制氢是非常重要的。过渡金属硫族化合物由于其高导电性、不同的价电子构型和不同的表面纳米/微结构,作为高效电催化剂具有很大的吸引力。本文综述了近年来发展起来的过渡金属硫族化合物(S、Se和Te)作为析氢反应、析氧反应和整体水分解的电催化剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Transition Metal-Based Chalcogenides as Electrocatalysts for Overall Water Splitting

Hydrogen is the key component in terms of energy economy, and electrochemical water splitting is one of the most important strategies to replace the widely used fossil fuels. The search for efficient electrocatalysts toward water splitting for hydrogen generation is very important. Transition metal-based chalcogenides have great attraction as efficient electrocatalysts due to their high conductivity, distinct valence electron configuration, and different surface morphological nano/microstructures. In this Review, recently developed transition metal-based chalcogenides (S, Se, and Te) as electrocatalysts toward hydrogen evolution reaction, oxygen evolution reaction, and overall water splitting have been discussed.

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ACS Engineering Au
ACS Engineering Au 化学工程技术-
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期刊介绍: )ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)
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