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Simulation of kinetic processes by the Monte-Carlo method

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Abstract

Statistical simulation of kinetic processes involving the interaction between different particle species is carried out by a Monte-Carlo method which differs from the classical application of this method by omitting calculations of the trajectories and mean free paths. Data on the latter quantities are included in the experimentally determined cross sections and rate constants used in the simulation. This qualitatively changes the computational procedure, simplifying and accelerating it. Data are provided on the simulation of a second-order sequential process and on the synthesis and dissociation of carbon dioxide, and they are compared to the known experimental data.

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Authors and Affiliations

  1. V. D. Kuznetsov Siberian Physico-Technical Institute, Tomsk State University, USSR

    Yu. G. Basov, I. G. Voitik & V. S. Mel'chenko

Authors
  1. Yu. G. Basov
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  2. I. G. Voitik
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  3. V. S. Mel'chenko
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Additional information

Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Fizika, No. 10, pp. 55–60, October, 1973.

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Basov, Y.G., Voitik, I.G. & Mel'chenko, V.S. Simulation of kinetic processes by the Monte-Carlo method. Soviet Physics Journal 16, 1384–1388 (1973). https://doi.org/10.1007/BF00894408

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  • DOI: https://doi.org/10.1007/BF00894408

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