Binary contraction method for the construction of time-dependent dividing surfaces in driven chemical reactions

Robin Bardakcioglu, Andrej Junginger, Matthias Feldmaier, Jörg Main, and Rigoberto Hernandez
Phys. Rev. E 98, 032204 – Published 5 September 2018

Abstract

Transition state theory formally provides a simplifying approach for determining chemical reaction rates and pathways. Given an underlying potential energy surface for a reactive system, one can determine the dividing surface in phase space which separates reactant and product regions, and thereby also these regions. This is often a difficult task, and it is especially demanding for high-dimensional time-dependent systems or when a nonlocal dividing surface is required. Recently, approaches relying on Lagrangian descriptors have been successful at resolving the dividing surface in some of these challenging cases, but this method can also be computationally expensive due to the necessity of integrating the corresponding phase space function. In this paper, we present an alternative method by which time-dependent, locally recrossing-free, and global dividing surfaces can be constructed without the calculation of any auxiliary phase space function, but only from simple dynamical properties close to the energy barrier. Another benefit of this method is its exponential convergence which allows for the determination of high-accuracy dividing surfaces in higher-dimensional systems with relatively small computational effort.

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  • Received 7 May 2018

DOI:https://doi.org/10.1103/PhysRevE.98.032204

©2018 American Physical Society

Physics Subject Headings (PhySH)

Atomic, Molecular & Optical

Authors & Affiliations

Robin Bardakcioglu1, Andrej Junginger1,*, Matthias Feldmaier1, Jörg Main1, and Rigoberto Hernandez2,†

  • 1Institut für Theoretische Physik 1, Universität Stuttgart, 70550 Stuttgart, Germany
  • 2Department of Chemistry, Johns Hopkins University, Baltimore, Maryland 21218, USA

  • *Present address: Machine Learning Team at ETAS GmbH, Bosch Group.
  • Corresponding author: r.hernandez@jhu.edu

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Issue

Vol. 98, Iss. 3 — September 2018

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