Superionicity in Ionic-Liquid-Based Electrolytes Induced by Positive Ion–Ion Correlations

化学 电解质 离子 化学物理 分子动力学 离子键合 离子电导率 扩散 无机化学 计算化学 物理化学 热力学 有机化学 物理 电极
作者
Pinchas Nürnberg,Jaschar Atik,Oleg Borodin,Martin Winter,Elie Paillard,Monika Schönhoff
出处
期刊:Journal of the American Chemical Society [American Chemical Society]
卷期号:144 (10): 4657-4666 被引量:42
标识
DOI:10.1021/jacs.2c00818
摘要

In ionic-liquid (IL)-based electrolytes, relevant for current energy storage applications, ion transport is limited by strong ion-ion correlations, generally yielding inverse Haven ratios (ionicities) of below 1. In particular, Li is transported in anionic clusters into the wrong direction of the electric field, requiring compensation by diffusive anion fluxes. Here, we present a concept to exploit ion-ion correlations in concentrated IL electrolytes beneficially by designing organic cations with a Li-coordinating chain. 1H NMR and Raman spectra show that IL cations with seven or more ether oxygens in the side chain induce Li coordination to organic cations. An unusual behavior of an inverse Haven ratio of >1 is found, suggesting an ionicity larger than that of an ideal electrolyte with uncorrelated ion motion. This superionic behavior is consistently demonstrated in both NMR transport/conductivity measurements and molecular dynamics (MD) simulations. Key to this achievement is the formation of long-lived Li-IL cation complexes, which invert the Li drift direction, yielding positive Li+ ion mobilities for the first time in a single IL-solvent-based electrolyte. Onsager correlation coefficients are derived from MD simulations and demonstrate that the main contributions to the inverse Haven ratio, which induce superionicity, arise from enhanced Li-IL cation correlations and a sign inversion of Li-anion correlation coefficients. Thus, the novel concept of coordinating cations not only corrects the unfortunate anionic drift direction of Li in ILs but even exploits strong ion correlations in the concentrated electrolyte toward superionic transport.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
space发布了新的文献求助10
刚刚
1秒前
kl完成签到 ,获得积分10
1秒前
1秒前
1秒前
鲸落发布了新的文献求助10
1秒前
2秒前
安诺完成签到,获得积分10
3秒前
3秒前
麦兜兜发布了新的文献求助30
4秒前
Hollow发布了新的文献求助10
4秒前
望山云雾完成签到,获得积分10
5秒前
舒心忆南完成签到,获得积分10
5秒前
传奇3应助呆萌幼晴采纳,获得10
6秒前
7秒前
7秒前
Wang发布了新的文献求助10
7秒前
善学以致用应助Aurora.H采纳,获得10
7秒前
8秒前
9秒前
9秒前
科研通AI2S应助周旭采纳,获得10
9秒前
xian林完成签到,获得积分10
11秒前
13秒前
13秒前
Li发布了新的文献求助10
13秒前
完美世界应助wise111采纳,获得10
13秒前
领导范儿应助科研通管家采纳,获得10
15秒前
pipipi发布了新的文献求助10
15秒前
15秒前
CodeCraft应助科研通管家采纳,获得10
15秒前
15秒前
yizhi应助科研通管家采纳,获得10
15秒前
15秒前
大个应助科研通管家采纳,获得10
15秒前
15秒前
15秒前
共享精神应助科研通管家采纳,获得10
15秒前
15秒前
赘婿应助科研通管家采纳,获得10
15秒前
高分求助中
【重要!!请各位用户详细阅读此贴】科研通的精品贴汇总(请勿应助) 10000
Plutonium Handbook 1000
Three plays : drama 1000
International Code of Nomenclature for algae, fungi, and plants (Madrid Code) (Regnum Vegetabile) 1000
Semantics for Latin: An Introduction 999
Psychology Applied to Teaching 14th Edition 600
Robot-supported joining of reinforcement textiles with one-sided sewing heads 600
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4097590
求助须知:如何正确求助?哪些是违规求助? 3635255
关于积分的说明 11522971
捐赠科研通 3345584
什么是DOI,文献DOI怎么找? 1838753
邀请新用户注册赠送积分活动 906224
科研通“疑难数据库(出版商)”最低求助积分说明 823497