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Automated Reaction Kinetics of Gas-Phase Organic Species over Multiwell Potential Energy Surfaces.
Zádor, Judit; Martí, Carles; Van de Vijver, Ruben; Johansen, Sommer L; Yang, Yoona; Michelsen, Hope A; Najm, Habib N.
Afiliación
  • Zádor J; Combustion Research Facility, Sandia National Laboratories, Livermore94550, California, United States.
  • Martí C; Combustion Research Facility, Sandia National Laboratories, Livermore94550, California, United States.
  • Van de Vijver R; Laboratory for Chemical Technology, Ghent University, Ghent9052, Belgium.
  • Johansen SL; Combustion Research Facility, Sandia National Laboratories, Livermore94550, California, United States.
  • Yang Y; Combustion Research Facility, Sandia National Laboratories, Livermore94550, California, United States.
  • Michelsen HA; Department of Mechanical Engineering, University of Colorado Boulder, Boulder80309, Colorado, United States.
  • Najm HN; Combustion Research Facility, Sandia National Laboratories, Livermore94550, California, United States.
J Phys Chem A ; 127(3): 565-588, 2023 Jan 26.
Article en En | MEDLINE | ID: mdl-36607817
ABSTRACT
Automation of rate-coefficient calculations for gas-phase organic species became possible in recent years and has transformed how we explore these complicated systems computationally. Kinetics workflow tools bring rigor and speed and eliminate a large fraction of manual labor and related error sources. In this paper we give an overview of this quickly evolving field and illustrate, through five detailed examples, the capabilities of our own automated tool, KinBot. We bring examples from combustion and atmospheric chemistry of C-, H-, O-, and N-atom-containing species that are relevant to molecular weight growth and autoxidation processes. The examples shed light on the capabilities of automation and also highlight particular challenges associated with the various chemical systems that need to be addressed in future work.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2023 Tipo del documento: Article