An Automated Variable E-Field DFT Application (A.V.E.D.A.) for Evaluation of Optimally Oriented Electric Fields on Chemical Reactivity

23 November 2022, Version 2
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Recent theoretical work and experiments at molecular junctions have provided a strong conceptualization for the effects of oriented electric fields (OEFs) on organic reactions. Depending upon the axis of application, OEFs can increase (or decrease) reaction rate or distinguish between isomeric pathways. Despite the conceptual elegance of OEFs, which may be applied externally or induced locally, as tools for catalyzing organic reactions, implementation in synthetically relevant systems has been hampered by inefficiencies in evaluating reaction sensitivity to field effects. Herein we describe the development of the Automated Variable Electric-Field DFT Application (A.V.E.D.A.) for streamlined evaluation of a reaction’s susceptibility to OEFs. This open-source software was designed to be accessible for non-expert users of computational and programming tools. Following initiation by a single command (and with no subsequent intervention) the Linux workflow manages a series of density functional theory (DFT) calculations and mathematical manipulations to optimize local-minimum and transition-state structures in oriented electric fields of increasing magnitude. The resulting molecular and reaction dipole moments, field-perturbed geometries, and net effective activation energies are compiled for user interpretation. Ten representative pericyclic reactions that showcase the development and evaluation of A.V.E.D.A. are described.

Keywords

Oriented Electric Field Effects
Computational Modeling
Pericyclic Reactions

Supplementary materials

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Description
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SI for A.V.E.D.A.
Description
Supplementary figures; output and energies for all model reaction; and extended discussion (PDF)
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Cartesian Coordinates
Description
Coordinates of computed structures
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Supplementary weblinks

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