亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Computational and Spectroscopic Analysis of Ion Interactions in Sodium and Lithium Ion Battery Electrolytes

化学 电解质 溶剂化 锂(药物) 离子 无机化学 密度泛函理论 碳酸二甲酯 物理化学 计算化学 有机化学 电极 医学 内分泌学 甲醇
作者
Arthur v. Cresce,Oleg Borodin,Steve Greenbaum,Jing Peng,Mallory Gobet,Reginald E. Rogers,Kang Xu
出处
期刊:Meeting abstracts [Institute of Physics]
卷期号:MA2017-02 (5): 450-450
标识
DOI:10.1149/ma2017-02/5/450
摘要

Rising interests in sodium ion batteries as low-cost alternatives to lithium ion batteries necessitates a closer look at the interactions between the sodium ion and its anion in electrolyte solution. As demonstrated in lithium ion batteries, solvent and anion species involved in solvation of the lithium ion contribute to the nucleation and growth of the solid electrolyte interphase of the anode. The same is true of sodium ion batteries, which parallel lithium ion batteries in their use of carbonate-based organic solvents and the hexafluorophosphate (PF 6 - ) anion. Infrared spectroscopy (FTIR) was used to probe the interaction between PF 6 - and sodium in various carbonate-based solvent, and these measurements were interpreted using predictions made by density functional theory (DFT) calculations on the model LiPF 6 and NaPF 6 -based solvates. In addition, molecular dynamics (MD) simulations were performed on the EC:DMC/LiPF 6 and EC:DMC/NaPF 6 electrolytes. A revised many-body polarizable APPLE&P force field was used in MD simulations. Solvate structures extracted from MD simulations were found in good agreement with interpretations of FTIR spectra. Specifically, initial MD results supported our previous finding indicating that the Li + and Na + solvation numbers from Raman measurements are found are similar in linear carbonates. Moreover, MD simulations predicted that the PF 6 - anion coordination to Li + and Na + are quite different. Mono-dentate LiPF 6 binding prevailing in LiPF 6 -DMC, and a combination of bi- and tri-dentate binding dominating in NaPF 6 -DMC in agreement with the free energies of solvates estimated from DFT cluster – continuum calculations. MD simulations also predicted solvent, anion, Li and Na self-diffusion coefficients in excellent agreement with pfg-NMR measurements.

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
随风完成签到,获得积分10
11秒前
yf完成签到,获得积分10
15秒前
顾矜应助ALKUT采纳,获得10
17秒前
ding应助ALKUT采纳,获得10
18秒前
NexusExplorer应助ALKUT采纳,获得10
18秒前
SciGPT应助ALKUT采纳,获得10
18秒前
Owen应助ALKUT采纳,获得10
18秒前
烟花应助ALKUT采纳,获得10
18秒前
orixero应助ALKUT采纳,获得10
18秒前
研友_VZG7GZ应助ALKUT采纳,获得10
18秒前
orixero应助ALKUT采纳,获得10
24秒前
ding应助ALKUT采纳,获得10
24秒前
科研通AI6.2应助ALKUT采纳,获得80
24秒前
桐桐应助ALKUT采纳,获得30
24秒前
大个应助ALKUT采纳,获得10
25秒前
molihuakai应助ALKUT采纳,获得10
25秒前
Owen应助ALKUT采纳,获得10
25秒前
领导范儿应助ALKUT采纳,获得30
25秒前
Orange应助ALKUT采纳,获得10
25秒前
小二郎应助ALKUT采纳,获得10
25秒前
27秒前
开放亦竹完成签到,获得积分10
31秒前
我是老大应助ALKUT采纳,获得10
33秒前
科研通AI6.4应助ALKUT采纳,获得10
33秒前
科研通AI6.4应助ALKUT采纳,获得10
33秒前
科研通AI6.2应助ALKUT采纳,获得10
33秒前
bkagyin应助ALKUT采纳,获得10
33秒前
科目三应助ALKUT采纳,获得10
33秒前
李爱国应助ALKUT采纳,获得10
33秒前
彭于晏应助ALKUT采纳,获得10
33秒前
科研通AI6.3应助ALKUT采纳,获得10
33秒前
李健的小迷弟应助ALKUT采纳,获得10
33秒前
冉亦完成签到,获得积分10
34秒前
37秒前
科研通AI6.4应助ALKUT采纳,获得10
40秒前
科研通AI6.3应助ALKUT采纳,获得10
40秒前
爆米花应助ALKUT采纳,获得10
40秒前
科研通AI6.3应助ALKUT采纳,获得10
40秒前
科研通AI6.2应助ALKUT采纳,获得10
40秒前
NexusExplorer应助ALKUT采纳,获得10
40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
Organic Chemistry, 5th Edition 1000
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
日本現代怪異事典 副読本 700
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 630
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
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 7376035
求助须知:如何正确求助?哪些是违规求助? 8983669
关于积分的说明 19101262
捐赠科研通 7017035
什么是DOI,文献DOI怎么找? 3225935
关于科研通互助平台的介绍 2389321
邀请新用户注册赠送积分活动 2206614