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New insights in chemical reactivity from quantum chemical topology.

Johanna KleinPaul Fleurat-LessardJulien Pilmé
Published in: Journal of computational chemistry (2021)
Based on the quantum chemical topology of the modified electron localization function ELFx , an efficient and robust mechanistic methodology designed to identify the favorable reaction pathway between two reactants is proposed. We first recall and reshape how the supermolecular interaction energy can be evaluated from only three distinct terms, namely the intermolecular coulomb energy, the intermolecular exchange-correlation energy and the intramolecular energies of reactants. Thereafter, we show that the reactivity between the reactants is driven by the first-order variation in the coulomb intermolecular energy defined in terms of the response to changes in the number of electrons. Illustrative examples with the formation of the dative bond B-N involved in the BH3 NH3 molecule and the typical formation of the hydrogen bond in the canonical water dimer are presented. For these selected systems, our approach unveils a noticeable mimicking of Edual onto the DFT intermolecular interaction energy surface calculated between the both reactants. An automated reaction-path algorithm aimed to determine the most favorable relative orientations when the two molecules approach each other is also outlined.
Keyphrases
  • energy transfer
  • machine learning
  • molecular dynamics
  • deep learning
  • quantum dots
  • molecular dynamics simulations
  • monte carlo