Two-Stage Growth of Solid Electrolyte Interphase on Copper: Imaging and Quantification by Operando Atomic Force Microscopy

原子力显微镜 材料科学 相间 电解质 显微镜 纳米技术 分析化学(期刊) 化学工程 化学 电极 冶金 光学 色谱法 物理化学 遗传学 生物 物理 工程类
作者
Henry L. Thaman,Michael L. Li,Justin A. Rose,Swati Narasimhan,Xin Xu,Che-Ning Yeh,Norman Jin,Andrew R. Akbashev,Isabel Davidoff,Martin Z. Bazant,William C. Chueh
出处
期刊:ACS Nano [American Chemical Society]
卷期号:19 (12): 11949-11960 被引量:9
标识
DOI:10.1021/acsnano.4c16418
摘要

The solid electrolyte interphase (SEI) plays a key role in the aging of lithium-ion batteries. The engineering of advanced negative electrode materials to increase battery lifetime relies on accurate models of SEI growth, but quantitative measurement of SEI growth rates remains challenging due to their nanoscale heterogeneity and environmental sensitivity. In this work, using operando electrochemical atomic force microscopy, we track the growth of SEI on copper in a carbonate electrolyte. From operando measurements of SEI thickness and irreversible electrochemical capacity, we directly visualize the dual growth regimes of the SEI, observing an early-stage primary SEI approximately ten times more “electrochemically compact” than later-stage secondary SEI, as quantified via the incremental thickness per charge passed. While primary SEI is responsible for about half of the irreversible capacity lost in a 24 h period, it accounts for only a tenth of thickness. We also show that nanoscale defects on the copper substrate play a key role in determining the nonuniform growth morphology of the SEI, thus providing direct evidence that initial SEI growth is not purely transport-limited. Our experiments reveal that SEI grows by two modes: first reaction-limited nucleation and growth of a dense, passivating primary SEI layer, governed by ion-coupled electron transfer kinetics; and subsequently by diffusion-limited growth of a porous secondary SEI layer, once the primary SEI fully passivates the electrode surface.
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
1秒前
condensate发布了新的文献求助10
1秒前
Yang完成签到,获得积分10
2秒前
向晚完成签到 ,获得积分10
3秒前
动听期待完成签到,获得积分10
3秒前
ericsson发布了新的文献求助10
4秒前
婳婳华华发布了新的文献求助10
5秒前
所所应助大力三问采纳,获得10
5秒前
6秒前
1111发布了新的文献求助10
6秒前
ml发布了新的文献求助10
7秒前
banli完成签到 ,获得积分10
8秒前
9秒前
炙热的宛完成签到,获得积分10
9秒前
xyy完成签到,获得积分10
10秒前
温柔绮山发布了新的文献求助10
11秒前
wanci应助追寻羿采纳,获得10
12秒前
123完成签到,获得积分10
12秒前
Wu完成签到 ,获得积分10
12秒前
周佳雯完成签到 ,获得积分10
15秒前
无为发布了新的文献求助10
17秒前
18秒前
xzx完成签到 ,获得积分10
18秒前
充电宝应助LithJude采纳,获得10
18秒前
19秒前
欢呼以晴关注了科研通微信公众号
19秒前
婳婳华华发布了新的文献求助10
20秒前
盯盯盯完成签到 ,获得积分10
22秒前
追寻羿完成签到,获得积分10
22秒前
追寻羿发布了新的文献求助10
25秒前
25秒前
28秒前
亢kxh完成签到,获得积分10
29秒前
30秒前
32秒前
33秒前
woshi123应助brandy采纳,获得10
33秒前
欢呼以晴发布了新的文献求助10
33秒前
1111发布了新的文献求助10
35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
Health Psychology 800
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 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 7593282
求助须知:如何正确求助?哪些是违规求助? 9170449
关于积分的说明 19628763
捐赠科研通 7171209
什么是DOI,文献DOI怎么找? 3267600
关于科研通互助平台的介绍 2432443
邀请新用户注册赠送积分活动 2260188