Modeling assisted synthesis of Zr-doped Li3-xIn1-xZrxCl6 with ultrahigh ionic conductivity for lithium-ion batteries

掺杂剂 锂(药物) 离子电导率 兴奋剂 材料科学 电导率 储能 离子键合 电化学 纳米技术 化学工程 无机化学 离子 光电子学 化学 物理化学 电极 热力学 工程类 电解质 医学 内分泌学 功率(物理) 物理 有机化学
作者
Jinzhao Fu,Songge Yang,Jiahui Hou,Luqman Azhari,Zeyi Yao,Xiaotu Ma,Yangtao Liu,Panawan Vanaphuti,Zi-Fei Meng,Zhenzhen Yang,Yu Zhong,Yan Wang
出处
期刊:Journal of Power Sources [Elsevier BV]
卷期号:556: 232465-232465 被引量:17
标识
DOI:10.1016/j.jpowsour.2022.232465
摘要

All-solid-state lithium-ion batteries (ASSLBs) are an important milestone for the future of energy storage because of their capability of impressive energy density and outstanding safety. However, oxide and sulfide solid-state electrolytes (SSEs) suffer from either low ionic conductivity or poor chemical stability. In contrast, halide-based SSEs, are promising as candidate materials owing to high conductivity, good stability, and broad cathode compatibility. Though element doping of the SSEs is an effective and common approach to further improve their electrochemical properties, dopant exploration and optimization through solely experimental trials are both costly and time-consuming. For this aspect, computational simulations for dopant element and concentration screening are adopted in this research and zirconium is selected as a suitable dopant for Li3InCl6. The synthesized Li2.75In0.75Zr0.25Cl6 exhibited Li ionic conductivity of 5.82 × 10−3 S cm−1 at room temperature, which is the highest among reported halide SSEs. The ASSLB formed with Li2CoO2–Li2.75In0.75Zr0.25Cl6–Li/In delivers a high initial capacity of 129.3 mAh·g−1. Conclusively, this work provides an effective approach which combines computational modeling and experimental verification for the development of halide SSEs with improved stability and conductivity. The successful design approach and compelling results provide further possibilities and capabilities in future SSE research.
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
李爱国应助Marksman497采纳,获得100
刚刚
秋雨完成签到,获得积分20
刚刚
CipherSage应助Marksman497采纳,获得10
1秒前
闪闪又菱完成签到,获得积分10
1秒前
FashionBoy应助Marksman497采纳,获得10
1秒前
柚子完成签到,获得积分10
2秒前
斯文败类应助Marksman497采纳,获得10
2秒前
种子发布了新的文献求助10
3秒前
汉堡包应助Marksman497采纳,获得10
3秒前
科研通AI6.2应助so采纳,获得10
3秒前
3秒前
紧张的海完成签到,获得积分10
4秒前
机智洋应助Marksman497采纳,获得10
4秒前
深情安青应助Marksman497采纳,获得10
5秒前
5秒前
爆米花应助Marksman497采纳,获得10
5秒前
kaikai完成签到,获得积分10
6秒前
星辰大海应助Marksman497采纳,获得10
6秒前
科研通AI6.2应助燕子采纳,获得10
6秒前
伶俐的珩完成签到,获得积分10
6秒前
所所应助Marksman497采纳,获得10
7秒前
奔跑应助Marksman497采纳,获得10
8秒前
rl_soccer发布了新的文献求助10
8秒前
哈西力工发布了新的文献求助10
8秒前
MMCC应助请叫我女侠采纳,获得10
8秒前
wangtingyu发布了新的文献求助10
9秒前
9秒前
caizi完成签到,获得积分20
9秒前
10秒前
慕蕤青丝发布了新的文献求助10
11秒前
岩松完成签到 ,获得积分10
11秒前
所所应助秋雨采纳,获得10
12秒前
仙林AK47完成签到,获得积分10
14秒前
14秒前
斯文的胜发布了新的文献求助10
16秒前
小鲤鱼发布了新的文献求助10
16秒前
16秒前
Peter_Zhu完成签到,获得积分10
16秒前
什锦人发布了新的文献求助200
17秒前
冷艳的寻冬完成签到,获得积分10
18秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Health and Wellbeing for Babies and Children 800
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7544782
求助须知:如何正确求助?哪些是违规求助? 9128381
关于积分的说明 19501855
捐赠科研通 7139605
什么是DOI,文献DOI怎么找? 3258779
关于科研通互助平台的介绍 2426080
邀请新用户注册赠送积分活动 2247121