Suppr超能文献

通过水热法制备椰丝衍生的硫掺杂硬碳用于高性能钠离子阳极

Shredded-Coconut-Derived Sulfur-Doped Hard Carbon via Hydrothermal Processing for High-Performance Sodium Ion Anodes.

作者信息

Liu Yuanfeng, Chen Shuai, Zhang Chengzhi, Li Guochun, Liu Junfeng, Wang Yong

机构信息

Institute for Energy Research, Jiangsu University, Zhenjiang 212013, China.

出版信息

Nanomaterials (Basel). 2025 May 14;15(10):734. doi: 10.3390/nano15100734.

Abstract

The extensive use of sodium-ion batteries has made it important to develop high-performance anode materials. Owing to their good sustainability, low cost, and excellent electrochemical properties, hard carbon materials are expected to be a good choice, especially biomass-derived hard carbon. In this study, we successfully synthesized a coir-based carbon nanosphere as an anode material. The hard carbon has a low degree of structural ordering, small particle size, and multiple pore networks for easy sulfur doping compared to the conventional direct high-temperature sulfur doping. The material has a high reversible capacity of 536 mAh g and an initial Coulombic efficiency of 53%, maintaining a reversible capacity of 308 mAh g at a high current density of 5 A g, achieving a capacity retention of 90.3% after 1000 cycles. The performance enhancement stems from a combination of enlarged layer spacing, an increased specific surface area, enhanced porosity, and doped sulfur atoms. This study provides an effective strategy for the conversion of biomass waste into high-performance sodium-ion anode material batteries.

摘要

钠离子电池的广泛应用使得开发高性能负极材料变得至关重要。由于其良好的可持续性、低成本和优异的电化学性能,硬碳材料有望成为一个不错的选择,尤其是生物质衍生的硬碳。在本研究中,我们成功合成了一种椰壳基碳纳米球作为负极材料。与传统的直接高温硫掺杂相比,该硬碳具有较低的结构有序度、较小的粒径和多个便于硫掺杂的孔网络。该材料具有536 mAh g的高可逆容量和53%的初始库仑效率,在5 A g的高电流密度下保持308 mAh g的可逆容量,在1000次循环后容量保持率达到90.3%。性能的提升源于层间距增大、比表面积增加、孔隙率提高以及硫原子掺杂的综合作用。本研究为将生物质废物转化为高性能钠离子负极材料电池提供了一种有效策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae56/12114512/8ea8de2b98db/nanomaterials-15-00734-g001.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