Machine-learning-assisted design of cathode catalysts for metal-sulfur/oxygen/carbon dioxide batteries

IF 18.9 1区材料科学 Q1 CHEMISTRY, PHYSICAL

Energy Storage Materials Pub Date : 2025-04-15 DOI:10.1016/j.ensm.2025.104261

Qi Zhang, Rui Yang, Zhengran Wang, Yifan Li, Fangbing Dong, Junjie Liu, Shenglin Xiong , Aimin Zhang, Jinkui Feng

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Abstract

Metal-sulfur/oxygen/carbon dioxide batteries, which are promising high-energy power systems, all suffer from the drawback of slow reaction kinetics in cathode reactions, resulting in suboptimal battery performance. Cathode catalysts can effectively accelerate reaction kinetics, thereby enhancing battery performance. However, challenges remain in catalyst screening, and there is an unclear understanding of catalytic mechanisms. Machine learning offers a rapid approach to screening efficient catalysts and deeply exploring the mechanism of catalysis, making it a promising tool for advancing catalyst development. Nowadays, comprehensive reviews on the role of machine learning in aiding the development of cathode catalysts for metal-sulfur/oxygen/carbon dioxide batteries are rare. This review systematically summarizes the application of machine learning in cathode catalysts and presents some perspectives for future research. This review may be useful for developing Metal-sulfur/oxygen/carbon dioxide batteries and related areas.

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金属-硫/氧/二氧化碳电池阴极催化剂的机器学习辅助设计

金属-硫/氧/二氧化碳电池是一种很有前途的高能动力系统，但其阴极反应动力学缓慢，导致电池性能不理想。阴极催化剂可以有效地加速反应动力学，从而提高电池性能。然而，在催化剂筛选方面仍然存在挑战，并且对催化机制的了解尚不清楚。机器学习为筛选高效催化剂和深入探索催化机理提供了一种快速的方法，是推进催化剂开发的一种很有前途的工具。目前，关于机器学习在帮助金属-硫/氧/二氧化碳电池阴极催化剂开发中的作用的综合评论很少。本文系统总结了机器学习在阴极催化剂中的应用，并对未来的研究进行了展望。本文对金属硫/氧/二氧化碳电池及相关领域的发展具有一定的指导意义。

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来源期刊

Energy Storage Materials Materials Science-General Materials Science

CiteScore

33.00

自引率

5.90%

发文量

652

审稿时长

27 days

期刊介绍： Energy Storage Materials is a global interdisciplinary journal dedicated to sharing scientific and technological advancements in materials and devices for advanced energy storage and related energy conversion, such as in metal-O2 batteries. The journal features comprehensive research articles, including full papers and short communications, as well as authoritative feature articles and reviews by leading experts in the field. Energy Storage Materials covers a wide range of topics, including the synthesis, fabrication, structure, properties, performance, and technological applications of energy storage materials. Additionally, the journal explores strategies, policies, and developments in the field of energy storage materials and devices for sustainable energy. Published papers are selected based on their scientific and technological significance, their ability to provide valuable new knowledge, and their relevance to the international research community.