Lefebvre Corentin, Khartabil Hassan, Boisson Jean-Charles, Contreras-García Julia, Piquemal Jean-Philip, Hénon Eric
Institut de Chimie Moléculaire de Reims UMR CNRS 7312, University of Reims Champagne-Ardenne, Moulin de la Housse, 51687, Reims Cedex 2 BP 39, France.
Campus Universitaire des Ardennes, University of Reims Champagne-Ardenne, 4 Bd Jean Delautre, 08000, Charleville-Mézières, France.
Chemphyschem. 2018 Mar 19;19(6):724-735. doi: 10.1002/cphc.201701325. Epub 2018 Jan 30.
Extraction of the chemical interaction signature from local descriptors based on electron density (ED) is still a fruitful field of development in chemical interpretation. In a previous work that used promolecular ED (frozen ED), the new descriptor, δg , was defined. It represents the difference between a virtual upper limit of the ED gradient (∇ρIGM , IGM=independent gradient model) that represents a noninteracting system and the true ED gradient (∇ρ ). It can be seen as a measure of electron sharing brought by ED contragradience. A compelling feature of this model is to provide an automatic workflow that extracts the signature of interactions between selected groups of atoms. As with the noncovalent interaction (NCI) approach, it provides chemists with a visual understanding of the interactions present in chemical systems. ∇ρIGM is achieved simply by using absolute values upon summing the individual gradient contributions that make up the total ED gradient. Hereby, we extend this model to relaxed ED calculated from a wave function. To this end, we formulated gradient-based partitioning (GBP) to assess the contribution of each orbital to the total ED gradient. We highlight these new possibilities across two prototypical examples of organic chemistry: the unconventional hexamethylbenzene dication, with a hexa-coordinated carbon atom, and β-thioaminoacrolein. It will be shown how a bond-by-bond picture can be obtained from a wave function, which opens the way to monitor specific interactions along reaction paths.
基于电子密度(ED)从局部描述符中提取化学相互作用特征,在化学解释领域仍是一个富有成果的发展方向。在之前一项使用前分子ED(冻结ED)的工作中,定义了新的描述符δg。它表示代表非相互作用系统的ED梯度虚拟上限(∇ρIGM,IGM = 独立梯度模型)与真实ED梯度(∇ρ)之间的差异。它可被视为由ED逆梯度带来的电子共享量度。该模型的一个引人注目的特点是提供了一个自动工作流程,可提取选定原子组之间相互作用的特征。与非共价相互作用(NCI)方法一样,它为化学家提供了对化学系统中存在的相互作用的直观理解。∇ρIGM只需通过对构成总ED梯度的各个梯度贡献求和后取绝对值即可实现。在此,我们将此模型扩展到从波函数计算得到的松弛ED。为此,我们制定了基于梯度的划分(GBP)来评估每个轨道对总ED梯度的贡献。我们通过有机化学的两个典型例子突出这些新的可能性:具有六配位碳原子的非常规六甲基苯二价阳离子和β-硫代氨基丙烯醛。将展示如何从波函数获得逐个键的图像,这为监测反应路径上的特定相互作用开辟了道路。