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Stochastic Cellular Automata Simulation of Oscillations and Autowaves in Reaction-Diffusion Systems

机译:反应扩散系统中振荡和自激波的随机细胞自动机模拟

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In this paper, the investigations on stochastic cellular automata models of stable oscillations and autowaves in active media are summarized to formulate a concept of stochastic cellular automaton (CA) corresponding to asynchronous СAs with probabilistic transition rules. A formal description of a stochastic CA and a stochastic CA model is given. The properties and methods of synthesis of CA models for a specified set of elementary physical and chemical transformations are described. Some possibilities of simulating autowave and oscillatory processes are demonstrated using, as an example, a carbon monoxide oxidation reaction on a platinum catalyst with surface restructuring. The CA-simulation has made it possible to reveal the range of reaction parameter values with stable oscillations of reagent concentrations and to observe autowaves on the platinum surface. Special attention is given to providing a highly efficient parallel implementation of the stochastic CA algorithm. For this, the asynchronous mode must be preliminarily transformed to a block-synchronous one. Its equivalence to the asynchronous mode is justified. This is doné for the CA reaction model by a comparative statistical analysis of the simulation results.
机译:本文对有源介质中稳定振荡和自激波的随机细胞自动机模型的研究进行了总结,以建立对应于具有概率转移规则的异步СAs的随机细胞自动机(CA)的概念。给出了随机CA和随机CA模型的形式化描述。描述了用于一组指定的基本物理和化学转化的CA模型的性质和合成方法。例如,通过在铂催化剂上进行一氧化碳氧化反应并进行表面重组,证明了一些模拟自动波和振荡过程的可能性。通过CA模拟,可以揭示试剂浓度稳定波动的反应参数值范围,并观察铂表面的自激波。要特别注意提供随机CA算法的高效并行实现。为此,必须将异步模式预先转换为块同步模式。它等同于异步模式是合理的。通过对模拟结果进行比较统计分析,这对于CA反应模型是正确的。

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