Molecular dynamics simulation of imidazolium-based ionic liquids. I. Dynamics and diffusion coefficient

离子液体 分子动力学 扩散 化学 离子 热力学 均方位移 烷基 物理化学 化学物理 计算化学 有机化学 物理 催化作用
作者
Mohammad H. Kowsari,Saman Alavi,Mahmud Ashrafizaadeh,Bijan Najafi
出处
期刊:Journal of Chemical Physics [American Institute of Physics]
卷期号:129 (22) 被引量:194
标识
DOI:10.1063/1.3035978
摘要

Molecular dynamics simulations are used to study the dynamics and transport properties of 12 room-temperature ionic liquids of the 1-alkyl-3-methylimidazolium [amim](+) (alkyl = methyl, ethyl, propyl, and butyl) family with PF(6)(-), NO(3)(-), and Cl(-) counterions. The explicit atom transferable force field of Canongia Lopes et al. [J. Phys. Chem. B 108, 2038 (2004)] is used in the simulations. In this first part, the dynamics of the ionic liquids are characterized by studying the mean-square displacement (MSD) and the velocity autocorrelation function (VACF) for the centers of mass of the ions at 400 K. Trajectory averaging was employed to evaluate the diffusion coefficients at two temperatures from the linear slope of MSD(t) functions in the range of 150-300 ps and from the integration of the VACF(t) functions at 400 K. Detailed comparisons are made between the diffusion results from the MSD and VACF methods. The diffusion coefficients from the integration of the VACFs are closer to experimental values than the diffusion coefficients calculated from the slope of MSDs. Both methods can show good agreement with experiment in predicting relative trends in the diffusion coefficients and determining the role of the cation and anion structures on the dynamical behavior of this family of ionic liquids. The MSD and self-diffusion of relatively heavier imidazolium cations are larger than those of the lighter anions from the Einstein results, except for the case of [bmim][Cl]. The cationic transference number generally decreases with temperature, in good agreement with experiments. For the same anion, the cationic transference numbers decrease with increasing length of the alkyl chain, and for the same cation, the trends in the cationic transference numbers are [NO(3)](-) < [Cl](-) < [PF(6)](-). The trends in the diffusion coefficient in the series of cations with identical anions are [emim](+) > [pmim](+) > [bmim](+) and those for anions with identical cations are [NO(3)](-) > [PF(6)](-) > [Cl](-). The [dmim](+) has a relatively low diffusion coefficient due to its symmetric structure and good packing in the liquid phase. The major factor for determining the magnitude of the self-diffusion is the geometric shape of the anion of the ionic liquid. Other important factors are the ion size and the charge delocalization in the anion.

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
YoungLee发布了新的文献求助10
1秒前
田田发布了新的文献求助10
2秒前
风清扬发布了新的文献求助10
2秒前
3秒前
小羊琳发布了新的文献求助10
3秒前
顺利兰发布了新的文献求助10
4秒前
CipherSage应助cm采纳,获得10
4秒前
Peng丶Young完成签到,获得积分10
4秒前
余一台完成签到,获得积分10
5秒前
Lucian完成签到,获得积分10
5秒前
科研通AI6应助shine采纳,获得10
5秒前
6秒前
科研通AI6应助科研通管家采纳,获得10
6秒前
充电宝应助noair采纳,获得10
6秒前
6秒前
哈哈哈哈哈完成签到 ,获得积分10
6秒前
所所应助科研通管家采纳,获得10
6秒前
ywzwszl发布了新的文献求助10
6秒前
猫小树完成签到 ,获得积分10
6秒前
科研通AI6应助科研通管家采纳,获得10
6秒前
田様应助科研通管家采纳,获得10
7秒前
科研通AI6应助科研通管家采纳,获得10
7秒前
科研通AI6应助科研通管家采纳,获得10
7秒前
量子星尘发布了新的文献求助10
7秒前
花不拉几发布了新的文献求助20
7秒前
蓝天应助科研通管家采纳,获得10
7秒前
今后应助科研通管家采纳,获得10
7秒前
斯文败类应助科研通管家采纳,获得10
8秒前
NexusExplorer应助科研通管家采纳,获得10
8秒前
Lucas应助科研通管家采纳,获得30
8秒前
8秒前
蓝天应助科研通管家采纳,获得10
8秒前
脑洞疼应助科研通管家采纳,获得10
8秒前
SciGPT应助科研通管家采纳,获得10
8秒前
科研通AI6应助Lee采纳,获得10
9秒前
wanci应助科研通管家采纳,获得10
9秒前
daihahaha完成签到,获得积分10
9秒前
科研通AI6应助科研通管家采纳,获得10
9秒前
深情安青应助科研通管家采纳,获得10
9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
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 6000
Real World Research, 5th Edition 680
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 660
Superabsorbent Polymers 600
Handbook of Migration, International Relations and Security in Asia 555
Between high and low : a chronology of the early Hellenistic period 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5675597
求助须知:如何正确求助?哪些是违规求助? 4947581
关于积分的说明 15153918
捐赠科研通 4834916
什么是DOI,文献DOI怎么找? 2589694
邀请新用户注册赠送积分活动 1543483
关于科研通互助平台的介绍 1501233