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Kinetic Analysis of a Reaction Path Network Including Ambimodal Transition States: A Case Study of an Intramolecular Diels-Alder Reaction.

Takuma ItoSatoshi MaedaYu Harabuchi
Published in: Journal of chemical theory and computation (2022)
This study proposes a methodology for the kinetic analysis of a reaction path network including ambimodal transition states (TSs), through which an ensemble of trajectories bifurcates to multiple minima in a phenomenon called dynamical bifurcation. The proposed methodology consists of three techniques: an automated reaction path search to construct a reaction path network including ambimodal TSs, an ab initio molecular dynamics simulation to evaluate the branching ratio, and the definition of rate constants incorporating this ratio. Applying the procedure to a Diels-Alder reaction, it was found that the inclusion of dynamical bifurcations is necessary to explain the experimental reaction yield of a byproduct. In addition, it was verified that the products take 10 13 s to reach thermal equilibrium and that the experimental selectivity is determined by the dynamical bifurcations.
Keyphrases
  • molecular dynamics simulations
  • density functional theory
  • deep learning
  • convolutional neural network