New venues in electron density analysis.

Journal: Physical chemistry chemical physics : PCCP
Published Date:

Abstract

We provide a comprehensive overview of the chemical information from electron density: not only how to extract information, but also how to obtain and how to assess the quality of the electron density itself. After introducing several indexes derived from electron density, which allow bonding to be revealed, we focus on the various potential sources of electron density, and also explain the error trends they show so that a judicious choice of methods and limitations are clearly laid on the table. Computational, experimental-computational combinations, and machine learning efforts are covered in this work.

Authors

  • Bruno Landeros-Rivera
    Laboratoire de Chimie Théorique, Sorbonne Université, F. 75005 Paris, France. contrera@lct.jussieu.fr.
  • Miguel Gallegos
    Departamento de Química Física y Analítica, Universidad de Oviedo, 33006 Oviedo, Spain.
  • Julen Munárriz
    Departamento de Química Física y Analítica, Universidad de Oviedo, 33006 Oviedo, Spain.
  • Ruben Laplaza
    Laboratory for Computational Molecular Design (LCMD), Institute of Chemical Sciences and Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland.
  • Julia Contreras-García
    Laboratoire de Chimie Théorique, Sorbonne Université, F. 75005 Paris, France. contrera@lct.jussieu.fr.