Predicting dielectric constants of pure liquids: fragment-based Kirkwood–Fröhlich model applicable over a wide range of polarity

电介质 极地的 航程(航空) 偶极子 Python(编程语言) 加法函数 热力学 摩尔体积 化学极性 计算化学 统计物理学 化学 材料科学 物理 计算机科学 有机化学 数学分析 量子力学 数学 复合材料 操作系统
作者
Rémi Bouteloup,Didier Mathieu
出处
期刊:Physical Chemistry Chemical Physics [Royal Society of Chemistry]
卷期号:21 (21): 11043-11057 被引量:13
标识
DOI:10.1039/c9cp01704f
摘要

In view of developing a procedure to predict the dielectric constant (εr) of pure liquids from molecular structure, a thorough analysis of prominent factors affecting this property is carried out. The results suggest that the orientational dipolar parameter gμ2 involved in the Kirkwood-Fröhlich theory may be estimated as a sum of additive contributions (gμ2)i associated with suitably defined polar fragments i. Associated with third-party models for the molar volume Vm and the refractive index nD, this provides a practical route to predicting εr for new compounds. Advantages over previous methods include: simplicity, as the present model relies on fragment-additivity and does not require 3D structures; sound physical bases; demonstrated applicability to polar liquids with εr values up to 200; predictive ability extensively demonstrated against large datasets (for a total of 1220 compounds) covering a broad structural diversity, resulting in values of the root mean square deviation/average percent error as low as 3.7/10% for data sets focused on simple organic compounds as considered in previous studies, although the inclusion of many alcohols in the data set leads to poorer statistics (5.0/32%) due to the lack of specific parameters for hydroxyl groups in distinct environments. The approach should be of special interest in the current search for new aprotic electrolytes aimed at improving the performances of electrochemical energy storage systems. Although its reliance on many fitting parameters restricts its domain of applicability, the present implementation is recommended over current procedures whenever possible. A Python script is provided to allow its straightforward application.
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
澳bobo发布了新的文献求助10
4秒前
Cheney完成签到 ,获得积分10
6秒前
123654完成签到 ,获得积分10
6秒前
8秒前
Echo完成签到,获得积分10
9秒前
怕孤独的傲丝完成签到,获得积分10
10秒前
要成功完成签到,获得积分10
11秒前
15秒前
17秒前
无奈的飞飞完成签到,获得积分10
18秒前
20秒前
22秒前
qcy发布了新的文献求助10
25秒前
xxw完成签到,获得积分10
26秒前
zoe11完成签到,获得积分10
26秒前
小绵羊发布了新的文献求助10
32秒前
蓝天发布了新的文献求助10
32秒前
perrier发布了新的文献求助10
34秒前
云在青天水在瓶完成签到,获得积分10
36秒前
干净依云关注了科研通微信公众号
38秒前
39秒前
40秒前
action完成签到,获得积分10
40秒前
45秒前
斯文败类应助化雪彼岸采纳,获得10
46秒前
干净依云发布了新的文献求助10
46秒前
46秒前
rover完成签到,获得积分10
48秒前
48秒前
完美世界应助科研通管家采纳,获得10
49秒前
49秒前
49秒前
共享精神应助科研通管家采纳,获得10
49秒前
49秒前
49秒前
张欢馨应助科研通管家采纳,获得10
49秒前
49秒前
传奇3应助科研通管家采纳,获得10
49秒前
49秒前
50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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6349508
求助须知:如何正确求助?哪些是违规求助? 8164407
关于积分的说明 17178412
捐赠科研通 5405789
什么是DOI,文献DOI怎么找? 2862289
邀请新用户注册赠送积分活动 1839951
关于科研通互助平台的介绍 1689142