Your browser doesn't support javascript.
loading
Automated Variable Electric-Field DFT Application for Evaluation of Optimally Oriented Electric Fields on Chemical Reactivity.
Hanaway, Dalton J; Kennedy, C Rose.
Affiliation
  • Hanaway DJ; Department of Chemistry, University of Rochester, Rochester, New York14627, United States.
  • Kennedy CR; Department of Chemistry, University of Rochester, Rochester, New York14627, United States.
J Org Chem ; 88(1): 106-115, 2023 Jan 06.
Article de En | MEDLINE | ID: mdl-36507909
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 on the axis of application, OEFs can increase (or decrease) the 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 nonexpert 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 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.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: J Org Chem Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: J Org Chem Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique
...