功能(生物学)
分子
化学物理
统计物理学
物理
波函数
计算化学
化学
分子物理学
材料科学
量子力学
生物
进化生物学
作者
Corentin Lefebvre,Hassan Khartabil,Jean-Charles Boisson,Julia Contreras‐García,Jean‐Philip Piquemal,Éric Hénon
出处
期刊:ChemPhysChem
[Wiley]
日期:2017-12-17
卷期号:19 (6): 724-735
被引量:422
标识
DOI:10.1002/cphc.201701325
摘要
Abstract 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, , was defined. It represents the difference between a virtual upper limit of the ED gradient ( , IGM=independent gradient model) that represents a noninteracting system and the true ED gradient ( ). 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. 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI