Nanoporous Graphene with Encapsulated Multicomponent Carbide as High-Performance Binder-Free Lithium-Ion Battery Anodes.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Linshan Zhu, Naixuan Ci, Guoan Wang, Yixuan Hu, Haiyun Zhang, Xin Wu, Boxuan Cao, Guoqiang Xie, Xingjun Liu, Kolan Madhav Reddy, Hua-Jun Qiu
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引用次数: 0

Abstract

Metal carbides are considered attractive lithium-ion battery (LIB) anode materials. Their potential practical application, however, still needs nanostructure optimization to further enhance the Li-storage capacity, especially under large current densities. Herein, a nanoporous structured multi-metal carbide is designed, which is encapsulated in a 3D free-standing nanotubular graphene film (MnNiCoFe-MoC@NG). This free-standing composite anode with a high surface area not only provides more active Li+ storage sites but also effectively prevents the agglomeration or detachment of active material in traditional powder-based electrodes. Moreover, the free-standing design does not require additional binders, conductive agents, or even current collectors when used as LIB anode. As a result, the MnNiCoFe-MoC@NG anode exhibits a high specific capacity of 1129.2 mAh g-1 at 2 A g-1 and maintains a stable capacity of 512.9 mAh g-1 after 2900 cycles of 5 A g-1, which is higher than most reported MoxC-based anodes. Furthermore, the anode exhibits superb low-temperature performance at both 0 and -20 °C, especially at large current densities. These properties make the free-standing anode very promising in fast charging and low-temperature applications.

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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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