Suppr超能文献

基于MXene的材料在多价离子电池中的应用研究进展

Recent Progress in the Applications of MXene-Based Materials in Multivalent Ion Batteries.

作者信息

Fu Wangqin, Aizudin Marliyana, Lee Pooi See, Ang Edison Huixiang

机构信息

National Institute of Education Singapore, Nanyang Technological University Singapore, Singapore, 637616, Singapore.

School of Materials Science and Engineering, Nanyang Technological University, Singapore, 639798, Singapore.

出版信息

Small. 2024 Nov;20(47):e2404093. doi: 10.1002/smll.202404093. Epub 2024 Aug 13.

Abstract

Multivalent-ion batteries have garnered significant attention as promising alternatives to traditional lithium-ion batteries due to their higher charge density and potential for sustainable energy storage solutions. Nevertheless, the slow diffusion of multivalent ions is the primary issue with electrode materials for multivalent-ion batteries. In this review, the suitability of MXene-based materials for multivalent-ion batteries applications is explored, focusing onions such as magnesium (Mg), aluminum (Al), zinc (Zn), and beyond. The unique structure of MXene offers large interlayer spacing and abundant surface functional groups that facilitates efficient ion intercalation and diffusion, making it an excellent candidate for multivalent-ion batteries electrodes with excellent specific capacity and power density. The latest advancements in MXene synthesis and engineering techniques to enhance its electrochemical performance have been summarized and discussed. With the versatility of MXenes and their ability to harness diverse multivalent ions, this review underscores the promising future of MXene-based materials in revolutionizing the landscape of multivalent-ion batteries.

摘要

多价离子电池因其较高的电荷密度和可持续储能解决方案的潜力,作为传统锂离子电池的有前途的替代品而备受关注。然而,多价离子的缓慢扩散是多价离子电池电极材料的主要问题。在这篇综述中,探讨了基于MXene的材料在多价离子电池应用中的适用性,重点关注镁(Mg)、铝(Al)、锌(Zn)等多价离子。MXene的独特结构提供了较大的层间距和丰富的表面官能团,有利于高效的离子插层和扩散,使其成为具有优异比容量和功率密度的多价离子电池电极的极佳候选材料。总结并讨论了MXene合成和工程技术的最新进展,以提高其电化学性能。鉴于MXene的多功能性及其利用多种多价离子的能力,这篇综述强调了基于MXene的材料在彻底改变多价离子电池格局方面的光明前景。

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