Recent Advances for High-Entropy based Layered Cathodes for Sodium Ion Batteries

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL Small Methods Pub Date : 2023-05-18 DOI:10.1002/smtd.202300152
Xudong Gao, Xiaoyu Zhang, Xiangyu Liu, Yinfeng Tian, Qiuyun Cai, Min Jia, Xiaohong Yan
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引用次数: 1

Abstract

In recent years, layered oxides have been extensively studied as promising cathode materials for sodium ion batteries. However, layered oxides undergo complex phase transitions during charge-discharge process, which adversely affects the electrochemical performance. High-entropy layered oxides as a unique design concept can effectively improve the cycling performance of cathode materials by virtue of the 2D ion migration channels between the layers. Based on the concepts of high-entropy and layered oxides, this paper reviews the research status of high-entropy layered oxides in the field of sodium-ion batteries, focusing on the connection between high-entropy and layered oxide phase transitions during electrochemical charging and discharging. Finally, the advantages of layered cathode materials based high-entropy are summarized, and the opportunities and challenges of future high-entropy layered materials are proposed.

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钠离子电池用高熵层状阴极的研究进展
近年来,层状氧化物作为钠离子电池的正极材料得到了广泛的研究。然而,层状氧化物在充放电过程中会发生复杂的相变,这会对电化学性能产生不利影响。高熵层状氧化物作为一种独特的设计理念,可以通过层间的二维离子迁移通道有效提高阴极材料的循环性能。基于高熵和层状氧化物的概念,综述了高熵层状氧化物在钠离子电池领域的研究现状,重点研究了电化学充放电过程中高熵与层状氧化物相变之间的联系。最后,总结了基于高熵的层状阴极材料的优势,并提出了未来高熵层状材料的机遇和挑战。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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