Suppr超能文献

用于高性能锂离子电池阳极的异质结构CoO/MoB MBene复合材料

Heterostructured CoO/MoB MBene composites for high performance lithium-ion batteries anode.

作者信息

Wang Shixin, Gao Yuzhe, Yang Zhanshu, Zhou Hui, Ni Desheng, Li Chuanbo, Li Qi, Zhang Xiaoming

机构信息

School of Science, Minzu University of China, Beijing 100081, China.

Optoelectronics Research Center, Minzu University of China, Beijing 100081, China.

出版信息

iScience. 2025 Mar 6;28(4):112133. doi: 10.1016/j.isci.2025.112133. eCollection 2025 Apr 18.

Abstract

Transition metal oxide CoO has attracted extensive attention as a potential anode material for lithium-ion batteries (LIBs) due to its impressive theoretical specific capacity. However, pristine CoO often suffers from structural collapse during cycling, resulting in reduced capacity. To address these challenges, we developed a method to grow octahedral CoO nanoparticles on hierarchical multilayer MoB MBene. The matched layer gradients and heterojunction formation between CoO and MoB MBene effectively accommodate the volume expansion of CoO. Following 200 cycles at 100 mA/g, the CoO/MoB MBene electrode achieves a capacity of 819.8 mAh/g, a significant 2.58-fold performance improvement over pristine CoO. Even at 1000 mA/g, the composite retains a capacity of 601.3 mAh/g after 600 cycles, while the pristine material retains only 142.4 mAh/g. This breakthrough suggests CoO/MoB MBene composite holds great promise in improving the performance of LIBs and may pave the way for the development of advanced materials.

摘要

过渡金属氧化物CoO因其令人印象深刻的理论比容量,作为锂离子电池(LIBs)的潜在负极材料受到了广泛关注。然而,原始的CoO在循环过程中常常会发生结构坍塌,导致容量降低。为了应对这些挑战,我们开发了一种在分层多层MoB MBene上生长八面体CoO纳米颗粒的方法。CoO和MoB MBene之间匹配的层梯度和异质结形成有效地适应了CoO的体积膨胀。在100 mA/g的电流下循环200次后,CoO/MoB MBene电极的容量达到819.8 mAh/g,与原始CoO相比,性能显著提高了2.58倍。即使在1000 mA/g的电流下,该复合材料在600次循环后仍保持601.3 mAh/g的容量,而原始材料仅保留142.4 mAh/g。这一突破表明CoO/MoB MBene复合材料在提高LIBs性能方面具有巨大潜力,并可能为先进材料的开发铺平道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4536/11953965/a4c5e3f3ba44/fx1.jpg

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