Amorphous transformation of FeP enabling enhanced sulfur catalysis and anchoring in High-performance Li-S batteries

多硫化物 催化作用 无定形固体 硫黄 化学工程 电化学 材料科学 阴极 电催化剂 吸附 纳米技术 化学 有机化学 电极 物理化学 冶金 电解质 工程类
作者
Guang Xia,Lishu Zhang,Jiajia Ye,Zhanghua Fu,Xuting Li,Xiaoxia Yang,Zhiqiang Zheng,Chuanzhong Chen,Cheng Hu
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:431: 133705-133705 被引量:40
标识
DOI:10.1016/j.cej.2021.133705
摘要

Catalytic materials have recently been demonstrated to be effective in addressing the critical challenges of polysulfide shuttling and low utilization of sulfur in Li-S batteries. Although amorphous materials show advantages in typical electrocatalysis processes such as water splitting, the vast majority of catalytic materials developed for the sulfur cathodes are crystalline. Herein, we demonstrate the enhanced electrochemical performance of the amorphous FeP phase (aFeP) derived from a self-oxidation process of its crystalline counterpart. Electrochemical measurements and theoretical calculation reveal that the structural anisotropy of crystalline FeP is not in favour of important properties such as polysulfide binding energy, catalytic activity and electrical conductivity. Amorphous aFeP effectively overcomes these issues. Moreover, amorphous aFeP provides additional and stronger binding sites, enhanced electron exchanging between Fe-S and P-S atoms, as well as reduced HOMO-LUMO gap of the aFeP-Li2S4 adsorption system, leading to significantly improved catalytic effects especially for the capacity-limiting liquid–solid conversions. High specific capacities are achieved up to 5C and pouch cells with a high areal capacity (6.3 mAh cm−2) are also demonstrated. This study provides useful insights for the future development of amorphous catalytic materials in high-performance Li-S cathodes.
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
刚刚
刚刚
lili爱科研发布了新的文献求助20
1秒前
1秒前
1秒前
1秒前
1秒前
3秒前
3秒前
呆鹅喵喵完成签到,获得积分10
3秒前
一二完成签到,获得积分10
4秒前
SciGPT应助Yongjian采纳,获得10
4秒前
cm发布了新的文献求助10
4秒前
Lycerdoctor发布了新的文献求助10
5秒前
炙热芝麻完成签到,获得积分10
5秒前
muxinghui发布了新的文献求助10
5秒前
刻苦乌冬面完成签到,获得积分10
5秒前
疯狂的聋五完成签到,获得积分10
6秒前
搜集达人应助悖论采纳,获得10
6秒前
跳跳狗发布了新的文献求助10
6秒前
给点论文吧完成签到 ,获得积分10
6秒前
6秒前
红烧茄子发布了新的文献求助10
8秒前
zfm发布了新的文献求助10
8秒前
黑芙蕾发布了新的文献求助20
8秒前
8秒前
李爱国应助是真的不吃鱼采纳,获得10
9秒前
脑洞疼应助是真的不吃鱼采纳,获得10
9秒前
小蘑菇应助是真的不吃鱼采纳,获得10
9秒前
9秒前
彭于晏应助是真的不吃鱼采纳,获得10
10秒前
10秒前
科目三应助是真的不吃鱼采纳,获得10
10秒前
bkagyin应助是真的不吃鱼采纳,获得10
10秒前
情怀应助是真的不吃鱼采纳,获得10
10秒前
10秒前
雨儿发布了新的文献求助10
11秒前
文静千凡发布了新的文献求助10
11秒前
一八四完成签到,获得积分10
11秒前
罗兰小云完成签到,获得积分10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6370356
求助须知:如何正确求助?哪些是违规求助? 8184276
关于积分的说明 17266643
捐赠科研通 5424944
什么是DOI,文献DOI怎么找? 2870073
邀请新用户注册赠送积分活动 1847081
关于科研通互助平台的介绍 1693826