Fabricating 3D Network for FeP@MXene toward Stable and High-Capacity Lithium-Ion Storage.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Jie Liu, Bohan Li, Peiyang Mu, Yuqi Li, Ligang Xu, Yongchao Shi, Jipeng Fu, Haiyan Zheng, Mingxue Tang
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Abstract

The designing and searching superior anode materials with low operation potential and rapid redox kinetics is of paramount importance. Incorporating transition metal (TM) into phosphorus to form TM phosphides and combining them with low-dimension materials represents effective strategy for enhancing the electrochemical performances. Herein, a 3D network FeP@MXene composite anode is proposed with exhibiting a high reversible capacity of 444.1 mAh g-1 at current density of 500 mA g-1 after 500 cycles for lithium-ion batteries. The study reveals that the exceptional cycling stability originates from the synergistic combination of high specific surface area and a structural design buffering volume expansion. Specifically, Prussian blue (PB) derived cubic structures are uniformly dispersed within a 3D interwoven network of MXene nanosheets. Notably, the pseudocapacitive dominated fast lithium storage kinetics of this active material induces uniformly incomplete lithium intercalation during the initial cycles. This mechanism effectively circumvents the severe capacity decay observed in conventional metal phosphides, which arises from heterogeneous lithium intercalation induced severe volume fluctuations. This work provides novel perspectives and insights for the rational design of high-performance metal phosphide anodes.

面向稳定和高容量锂离子存储的FeP@MXene三维网络制造。
设计和寻找具有低操作电位和快速氧化还原动力学的优良阳极材料是至关重要的。将过渡金属(TM)加入到磷中形成TM磷化物并与低维材料结合是提高其电化学性能的有效策略。本文提出了一种3D网络FeP@MXene复合阳极,在500次循环后,在电流密度为500 mA g-1时,锂离子电池具有444.1 mAh g-1的高可逆容量。研究表明,卓越的循环稳定性源于高比表面积和结构设计缓冲体积膨胀的协同结合。具体来说,普鲁士蓝(PB)衍生的立方结构均匀地分散在MXene纳米片的三维交织网络中。值得注意的是,这种活性材料的伪电容主导的快速锂存储动力学在初始循环中诱导均匀的不完全锂嵌入。这种机制有效地避免了在传统金属磷化物中观察到的严重容量衰减,这种衰减是由非均相锂嵌入引起的严重体积波动引起的。这项工作为高性能磷化金属阳极的合理设计提供了新的视角和见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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