Abstract
Cellular-automata diffusion models are studied by simula- tion and their characteristics are compared. The simulation results are obtained by process observation and by computing concentration distri- bution along one of the axis of the array. To prove the validity of the models and assess their macroscopic parameters the results are compared to those obtained by corresponding PDE solution. Stochastic and deter- ministic models are investigated. Stochastic models are shown to be more precise in reflecting pure diffusion dynamics and heat distribution, while the deterministic ones model more complex phenomena diplaying both diffusive and wavelike properties, inherent in gas and fluids.
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© 1999 Springer-Verlag Berlin Heidelberg
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Bandman, O.L. (1999). Comparative Study of Cellular-Automata Diffusion Models. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 1999. Lecture Notes in Computer Science, vol 1662. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48387-X_41
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DOI: https://doi.org/10.1007/3-540-48387-X_41
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