Spin Engineering of Dual-Atom Site Catalysts for Efficient Electrochemical Energy Conversion

IF 27.4 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Dongping Xue, Yu Zhao, Jianliang Cao, Yan Wang, Xiaoning Li, Tianyi Ma
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Abstract

Dual-atom site catalysts (DASCs) provide more advantages than single-atom systems in improving energy conversions, owing to their unique features. For example, the coupling effect may align the spin of two adjacent dual-atom active centers in parallel or antiparallel via electron exchange interactions, thereby altering reaction mechanisms and overall efficiency. While numerous reviews have explored spin-dependent electrocatalysis, there remains a lack of a comprehensive, spin-focused framework for understanding the catalytic behavior of DASCs. This review emphasizes the role of spin in dual-atom site centers for electrocatalysis research. First, spin fundamentals in electrocatalysts, including spin-selective orbital occupation, spin ordering, and spin coupling, are comprehensively summarized to provide a solid foundation for subsequent discussions. Then, spin engineering strategies of DASCs are reviewed, including manipulating the spin configuration of the central atoms, modulating coordination environments, and tuning metal–support interactions. Next, recent developments in spin engineering of DASCs are reviewed, with a focus on structure–performance relationships. Furthermore, high-throughput screening techniques integrated with machine learning are discussed for developing highly efficient DASCs based on spin engineering. The challenges and opportunities of DASCs and spin engineering are thoroughly discussed to promote the advancement of new energy applications.

Abstract Image

高效电化学能量转换双原子位催化剂的自旋工程研究
由于其独特的特性,双原子催化剂在提高能量转化方面比单原子催化剂具有更多的优势。例如,耦合效应可能通过电子交换作用使两个相邻双原子活性中心的自旋平行或反平行排列,从而改变反应机制和整体效率。虽然许多综述已经探索了自旋依赖的电催化,但仍然缺乏一个全面的、以自旋为中心的框架来理解dassc的催化行为。本文综述了自旋在电催化研究中双原子位中心的作用。首先,全面总结了电催化剂的自旋基础,包括自旋选择性轨道占用、自旋有序和自旋耦合,为后续的讨论提供了坚实的基础。然后,综述了dassc的自旋工程策略,包括控制中心原子的自旋构型、调节配位环境和调节金属-支撑相互作用。其次,回顾了dassc自旋工程的最新进展,重点介绍了结构-性能关系。此外,本文还讨论了结合机器学习的高通量筛选技术,以开发基于自旋工程的高效dass。深入探讨了DASCs和自旋工程的挑战和机遇,以推动新能源应用的发展。
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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来源期刊
Advanced Materials
Advanced Materials 工程技术-材料科学:综合
CiteScore
43.00
自引率
4.10%
发文量
2182
审稿时长
2 months
期刊介绍: Advanced Materials, one of the world's most prestigious journals and the foundation of the Advanced portfolio, is the home of choice for best-in-class materials science for more than 30 years. Following this fast-growing and interdisciplinary field, we are considering and publishing the most important discoveries on any and all materials from materials scientists, chemists, physicists, engineers as well as health and life scientists and bringing you the latest results and trends in modern materials-related research every week.
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