Probing degradation of layered lithium oxide cathodes via multilength scaled X-ray imaging techniques

材料科学 阴极 X射线 电化学 氧化物 降级(电信) 纳米技术 衍射 光学 电极 计算机科学 物理 化学 冶金 物理化学 电信 量子力学
作者
Junrun Feng,W.H. Zhou,Zhuo Chen,Zhangxiang Hao
出处
期刊:Nano Energy [Elsevier BV]
卷期号:119: 109028-109028 被引量:2
标识
DOI:10.1016/j.nanoen.2023.109028
摘要

Layered lithium metal oxide (LLMO) cathode is widely used among the numerous cathode materials for providing high energy density and good reversibility in Li-ion batteries. However, the batteries still suffer from safety concerns and electrochemical performance decay during long-term cycling, which arises from the degradation of LLMO cathodes. In order to optimize the batteries, it becomes crucial to characterize and study the degradation mechanism of LLMO. X-ray imaging techniques have been intensively applied in this area. According to the different interactions between X-rays and matter, X-ray imaging techniques are divided into: X-ray projection imaging techniques; Transmission X-ray Imaging (TXM); Scanning Transmission X-ray Imaging (STXM), X-ray Fluorescence Imaging and X-ray Diffraction-based Imaging. These methods provide information related to the internal structure, morphology, chemical changes, and crystallization structure. The non-destructive and high penetration ability of X-rays also enables the in-situ experiments with multiscale spatial resolution, revealing the nature behind the LLMO cathode during the operation. In the review, we first overview the X-ray imaging techniques based on their function principle. A brief discussion of in-situ specialized designed cells and ex-situ samples is presented. Lateral, examples were discussed under different length scales. It is hoped the review can inspire a deeper consideration of the utilization of X-ray imaging techniques in detecting degradation of LLMO cathodes, paving new pathways to develop advanced LLMO cathodes with better cycling stability and practical capabilities.

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
Jinna706发布了新的文献求助10
1秒前
金山完成签到,获得积分10
1秒前
YQP完成签到,获得积分10
2秒前
2秒前
kioni发布了新的文献求助10
2秒前
luo发布了新的文献求助10
3秒前
铭铭子发布了新的文献求助10
5秒前
6秒前
6秒前
萝卜完成签到,获得积分10
6秒前
6秒前
6秒前
SciGPT应助Hcw0525采纳,获得10
7秒前
乐乐应助in采纳,获得20
7秒前
7秒前
东郭乾完成签到 ,获得积分10
9秒前
9秒前
10秒前
10秒前
10秒前
崔鑫发布了新的文献求助10
11秒前
CodeCraft应助tang采纳,获得10
11秒前
郑谦奕啊发布了新的文献求助10
11秒前
829302yft发布了新的文献求助10
11秒前
斯文败类应助huhuhu采纳,获得10
12秒前
莫羽倾尘发布了新的文献求助10
12秒前
CipherSage应助2499297293采纳,获得10
12秒前
12秒前
华仔应助阿尔福斯采纳,获得10
12秒前
哈哈哈哈哈完成签到 ,获得积分10
13秒前
礼涛完成签到,获得积分20
13秒前
张延飞发布了新的文献求助10
13秒前
丹烟发布了新的文献求助10
14秒前
经竺发布了新的文献求助10
14秒前
15秒前
乐乐应助轻松的若南采纳,获得10
15秒前
哈哈哈发布了新的文献求助10
16秒前
礼涛发布了新的文献求助30
16秒前
17秒前
铭铭子发布了新的文献求助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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
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
Blackwell's five-minute veterinary consult clinical companion: small animal gastrointestinal diseases 500
Data book on fatigue strength of metallic materials 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 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 7563062
求助须知:如何正确求助?哪些是违规求助? 9143788
关于积分的说明 19550247
捐赠科研通 7150821
什么是DOI,文献DOI怎么找? 3262369
关于科研通互助平台的介绍 2428589
邀请新用户注册赠送积分活动 2251905