4.6 Article

Charge-Flow Profiles along Curvilinear Paths: A Flexible Scheme for the Analysis of Charge Displacement upon Intermolecular Interactions

期刊

MOLECULES
卷 26, 期 21, 页码 -

出版社

MDPI
DOI: 10.3390/molecules26216409

关键词

electron density; chemical bonding; intermolecular interactions; charge displacement; curvilinear interaction paths

资金

  1. Scuola Normale Superiore through project DIVE: Development of Immersive approaches for the analysis of chemical bonding through Virtual-reality Environments [SNS18_B_RAMPINO]
  2. Scuola Normale Superiore through project LCFA-Local charge-flow analysis: a novel scheme for unravelling complex intermolecular interactions [SNS21_A_RAMPINO]
  3. Scuola Normale Superiore through the program Finanziamento a supporto della ricerca di base (SNS_RB_RAMPINO)

向作者/读者索取更多资源

The article proposes a general, flexible reformulation of the Charge-Displacement (CD) analysis, capable of providing a quantitative view of charge displacement along custom curvilinear paths. The new scheme naturally reduces to ordinary CD analysis when the path is chosen to be a straight line.
The Charge-Displacement (CD) analysis has proven to be a powerful tool for a quantitative characterization of the electron-density flow occurring upon chemical bonding along a suitably chosen interaction axis. In several classes of interesting intermolecular interactions, however, an interaction axis cannot be straightforwardly defined, and the CD analysis loses consistency and usefulness. In this article, we propose a general, flexible reformulation of the CD analysis capable of providing a quantitative view of the charge displacement along custom curvilinear paths. The new scheme naturally reduces to ordinary CD analysis if the path is chosen to be a straight line. An implementation based on a discrete sampling of the electron densities and a Voronoi space partitioning is described and shown in action on two test cases of a metal-carbonyl and a pyridine-ammonia complex.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据