Suppr超能文献

用于钠离子电池的高熵层状氧化物阴极

High-Entropy Layered Oxide Cathodes for Sodium-Ion Batteries.

作者信息

Zhao Chenglong, Ding Feixiang, Lu Yaxiang, Chen Liquan, Hu Yong-Sheng

机构信息

Key Laboratory for Renewable Energy, Beijing Key Laboratory for New Energy Materials and Devices, Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China.

Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China.

出版信息

Angew Chem Int Ed Engl. 2020 Jan 2;59(1):264-269. doi: 10.1002/anie.201912171. Epub 2019 Nov 19.

Abstract

Material innovation on high-performance Na-ion cathodes and the corresponding understanding of structural chemistry still remain a challenge. Herein, we report a new concept of high-entropy strategy to design layered oxide cathodes for Na-ion batteries. An example of layered O3-type NaNi Cu Mg Fe Co Mn Ti Sn Sb O has been demonstrated, which exhibits the longer cycling stability (ca. 83 % of capacity retention after 500 cycles) and the outstanding rate capability (ca. 80 % of capacity retention at the rate of 5.0 C). A highly reversible phase-transition behavior between O3 and P3 structures occurs during the charge-discharge process, and importantly, this behavior is delayed with more than 60 % of the total capacity being stored in O3-type region. Possible mechanism can be attributed to the multiple transition-metal components in this high-entropy material which can accommodate the changes of local interactions during Na (de)intercalation. This strategy opens new insights into the development of advanced cathode materials.

摘要

高性能钠离子阴极的材料创新以及对结构化学的相应理解仍然是一个挑战。在此,我们报告了一种用于设计钠离子电池层状氧化物阴极的高熵策略新概念。展示了层状O3型NaNiCuMgFeCoMnTiSnSbO的一个例子,它表现出更长的循环稳定性(500次循环后容量保持率约为83%)和出色的倍率性能(在5.0C倍率下容量保持率约为80%)。在充放电过程中,O3和P3结构之间发生高度可逆的相变行为,重要的是,这种行为被延迟,总容量的60%以上存储在O3型区域。可能的机制可归因于这种高熵材料中的多种过渡金属成分,它们可以适应钠嵌入/脱嵌过程中局部相互作用的变化。该策略为先进阴极材料的开发开辟了新的思路。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验