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!

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
刚刚
Rn完成签到 ,获得积分0
2秒前
romeo完成签到,获得积分10
3秒前
zl发布了新的文献求助10
6秒前
心灵美语兰完成签到 ,获得积分10
15秒前
希望天下0贩的0应助zl采纳,获得10
15秒前
Lucky完成签到,获得积分10
16秒前
wab完成签到,获得积分0
17秒前
Wsh发布了新的文献求助10
19秒前
脑洞疼应助Lucky采纳,获得10
22秒前
阿兹卡班完成签到 ,获得积分10
22秒前
zl完成签到,获得积分20
30秒前
34秒前
34秒前
活泼一斩完成签到,获得积分10
40秒前
帅小鱼完成签到,获得积分10
42秒前
43秒前
缓慢流沙发布了新的文献求助10
43秒前
43秒前
一条狗发布了新的文献求助10
44秒前
Fein_W发布了新的文献求助10
51秒前
脑洞疼应助大力的蚂蚁采纳,获得30
55秒前
汉堡包应助陈生采纳,获得10
1分钟前
1分钟前
Sun完成签到,获得积分10
1分钟前
1分钟前
英俊的铭应助XY星雨XY采纳,获得10
1分钟前
Yoopenoy关注了科研通微信公众号
1分钟前
Christine发布了新的文献求助10
1分钟前
这祈祷的声音完成签到 ,获得积分10
1分钟前
陈生发布了新的文献求助10
1分钟前
WoeiQune发布了新的文献求助10
1分钟前
科研通AI6.1应助Come_On_luguo采纳,获得10
1分钟前
田様应助科研通管家采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
甜甜柏柳发布了新的文献求助10
1分钟前
XY星雨XY发布了新的文献求助10
1分钟前
刘宇航发布了新的文献求助10
1分钟前
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
Salmon nasal cartilage-derived proteoglycan complexes influence the gut microbiota and bacterial metabolites in mice 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
SMITHS Ti-6Al-2Sn-4Zr-2Mo-Si: Ti-6Al-2Sn-4Zr-2Mo-Si Alloy 850
Signals, Systems, and Signal Processing 610
Learning manta ray foraging optimisation based on external force for parameters identification of photovoltaic cell and module 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 6376215
求助须知:如何正确求助?哪些是违规求助? 8189486
关于积分的说明 17294132
捐赠科研通 5430088
什么是DOI,文献DOI怎么找? 2872831
邀请新用户注册赠送积分活动 1849393
关于科研通互助平台的介绍 1694974