Independent gradient model based on Hirshfeld partition: A new method for visual study of interactions in chemical systems

分子内力 分拆(数论) 分子间力 计算机科学 波函数 化学 分子 理论计算机科学 统计物理学 物理 数学 量子力学 组合数学
作者
Tian Lu,Qinxue Chen
出处
期刊:Journal of Computational Chemistry [Wiley]
卷期号:43 (8): 539-555 被引量:3188
标识
DOI:10.1002/jcc.26812
摘要

The powerful independent gradient model (IGM) method has been increasingly popular in visual analysis of intramolecular and intermolecular interactions in recent years. However, we frequently observed that there is an evident shortcoming of IGM map in graphically studying weak interactions, that is its isosurfaces are usually too bulgy; in these cases, not only the graphical effect is poor, but also the color on some areas on the isosurfaces is inappropriate and may lead to erroneous analysis conclusions. In addition, the IGM method was originally proposed based on promolecular density, which is quite crude and does not take actual electronic structure into account. In this article, we propose an improvement version of IGM, namely IGM based on Hirshfeld partition of molecular density (IGMH), which replaces the free-state atomic densities involved in the IGM method with the atomic densities derived by Hirshfeld partition of actual molecular electron density. This change makes IGM have more rigorous physical background. A large number of application examples in this article, including molecular and periodic systems, weak and chemical bond interactions, fully demonstrate the important value of IGMH in intuitively understanding interactions in chemical systems. Comparisons also showed that the IGMH usually has markedly better graphical effect than IGM and overcomes known problems in IGM. Currently IGMH analysis has been supported in our wavefunction analysis code Multiwfn (http://sobereva.com/multiwfn). We hope that IGMH will become a new useful method among chemists for exploring interactions in wide variety of chemical systems.
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
橘止完成签到 ,获得积分10
刚刚
刚刚
瑞生发布了新的文献求助10
刚刚
刚刚
奋斗书蝶完成签到 ,获得积分10
刚刚
笨笨新之发布了新的文献求助10
刚刚
zhangxiaoji完成签到,获得积分10
1秒前
迅速冰岚发布了新的文献求助10
2秒前
虎虎发布了新的文献求助10
2秒前
2秒前
2秒前
3秒前
我要上国科大完成签到,获得积分10
3秒前
老baby发布了新的文献求助10
3秒前
3秒前
Akim应助阿鲁高采纳,获得10
3秒前
3秒前
Hello应助壮壮不爱吃肉采纳,获得10
4秒前
欢呼凝旋发布了新的文献求助10
4秒前
酷波er应助GSQ采纳,获得10
4秒前
sun发布了新的文献求助30
5秒前
英姑应助科研通管家采纳,获得10
5秒前
机灵的小蘑菇完成签到,获得积分10
5秒前
慕青应助科研通管家采纳,获得10
5秒前
852应助科研通管家采纳,获得10
5秒前
顾矜应助科研通管家采纳,获得10
5秒前
华仔应助科研通管家采纳,获得10
5秒前
molihuakai应助科研通管家采纳,获得10
5秒前
5秒前
汉堡包应助科研通管家采纳,获得10
5秒前
852应助科研通管家采纳,获得10
6秒前
无花果应助科研通管家采纳,获得10
6秒前
6秒前
小二郎应助科研通管家采纳,获得10
6秒前
天天快乐应助科研通管家采纳,获得10
6秒前
Wuchy完成签到,获得积分10
6秒前
6秒前
6秒前
丹霞完成签到,获得积分0
6秒前
6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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
Pulse width control of a 3-phase inverter with non sinusoidal phase voltages 777
Signals, Systems, and Signal Processing 610
Research Methods for Applied Linguistics: A Practical Guide 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 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 6400713
求助须知:如何正确求助?哪些是违规求助? 8217528
关于积分的说明 17414225
捐赠科研通 5453742
什么是DOI,文献DOI怎么找? 2882258
邀请新用户注册赠送积分活动 1858825
关于科研通互助平台的介绍 1700576