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Empirical dependence of the probability of blocks rotations on the diffusion coefficient in a cellular automaton with a Margolus neighbourhood
Author(s) -
N. A. Shalyapina,
Maxim Gromov,
A. K. Matolygin,
S. N. Torgaev
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2140/1/012031
Subject(s) - cellular automaton , statistical physics , diffusion , block (permutation group theory) , neighbourhood (mathematics) , continuous automaton , computer science , block cellular automaton , stochastic cellular automaton , algorithm , automaton , mathematics , theoretical computer science , physics , geometry , mathematical analysis , mobile automaton , automata theory , thermodynamics
The paper considers a cellular automaton approach to modeling physical processes, in particular, the diffusion of pulsed periodic gas discharges in plasma. An attempt to determine the dependence of the probability of the block rotation on the diffusion coefficient for a cellular automaton diffusion model with a Margolus neighborhood is describe. Some features of the tensor approach to the implementation of random block cellular automata are described. The results of computer experiments are presented. The analysis of this results indicates that the data from the literature sources differ from the data obtained during the experiment.

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