Synergistic physical and chemical effects of MOF-derived porous Fe3C–NC to boost the performance of Li–S batteries

多孔性 材料科学 化学工程 化学 复合材料 工程类
作者
Wanyang Chen,Junan Feng,Yin Lu,Di He,Wei Gu,Tianyi Wang,Jingchong Liu,Xiaoxian Zhao,Chuan Shi,Jianjun Song
出处
期刊:Applied Physics Letters [American Institute of Physics]
卷期号:126 (2)
标识
DOI:10.1063/5.0240597
摘要

Lithium–sulfur (Li–S) batteries are one of the key objects of next-generation energy storage systems due to their high energy density and low-cost characteristics. However, the slow reaction kinetics and serious shuttle effect of lithium polysulfides (LiPSs) have hindered their practical application. In this work, metal-organic framework-derived Fe3C decorated nitrogen-doped carbon matrix (Fe3C–NC) composites were prepared to modify the separator to promote the reaction kinetics of Li–S batteries. The porous and conductive NC facilitates the trapping of LiPSs, rapid transfer of charge, and alleviated volume expansion, while the Fe3C–NC with optimum Fe3C content can significantly reduce the energy barrier of the electrochemical conversion reaction, accelerate the transport of lithium ions, and enhance the reaction kinetics of LiPSs, which are conducive to inhibit the shuttle effect through synergistic physical and chemical interactions. The Li–S battery with Fe3C–NC separator exhibits excellent cycle stability with an initial discharge specific capacity of 1099.19 mAh g−1 at 1 C and a low-capacity decay of 0.068% per cycle over 500 cycles. Even at a high S loading of 5.93 mg cm−2, it still delivers reliable cyclic stability with an initial discharge specific capacity of 903.65 mAh g−1 at 0.1 C. This work provides a convenient and effective method for the application of metallic materials combined with nitrogen-doped carbon matrix in high-performance Li–S batteries.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
灿烂千阳完成签到,获得积分10
1秒前
欢呼晓博发布了新的文献求助30
2秒前
2秒前
小恶心完成签到,获得积分10
3秒前
3秒前
韋晴完成签到,获得积分10
3秒前
5秒前
chf102完成签到,获得积分10
6秒前
cmh完成签到,获得积分20
6秒前
面条发布了新的文献求助10
7秒前
热爱生活发布了新的文献求助10
7秒前
衬衫完成签到 ,获得积分10
7秒前
7秒前
9秒前
9秒前
9秒前
某只橘猫君完成签到,获得积分10
10秒前
稳重奇异果应助花花猪1989采纳,获得10
11秒前
FBI911应助花花猪1989采纳,获得10
11秒前
稳重奇异果应助花花猪1989采纳,获得10
11秒前
MiLi完成签到,获得积分10
11秒前
赵润泽完成签到 ,获得积分10
13秒前
13秒前
norman发布了新的文献求助10
14秒前
yannna发布了新的文献求助10
17秒前
17秒前
18秒前
好好学习发布了新的文献求助200
18秒前
HJJHJH发布了新的文献求助30
20秒前
天天快乐应助欢呼晓博采纳,获得10
20秒前
科研通AI5应助Dovahcode采纳,获得10
20秒前
周小凡完成签到,获得积分10
21秒前
ZHQ发布了新的文献求助10
21秒前
22秒前
23秒前
starlight完成签到,获得积分20
24秒前
Ava应助荷包蛋采纳,获得10
24秒前
好大一个赣宝完成签到,获得积分10
26秒前
漂亮的小夏完成签到,获得积分10
27秒前
jagger发布了新的文献求助10
27秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Musculoskeletal Pain - Market Insight, Epidemiology And Market Forecast - 2034 666
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3734585
求助须知:如何正确求助?哪些是违规求助? 3278533
关于积分的说明 10009882
捐赠科研通 2995161
什么是DOI,文献DOI怎么找? 1643223
邀请新用户注册赠送积分活动 781009
科研通“疑难数据库(出版商)”最低求助积分说明 749196