Cellular Automata Modeling Isotropic Growth of Clusters of Arbitrary Morphology and their Application to the Study of Heterogeneous Reacting Systems

 

K. Zygourakis 1,* and P. Markenscoff 2

1 Department of Chemical Engineering
Rice University
Houston, TX 77251-1892

2 Department of Electrical Engineering
University of Houston
Houston,TX 77204-4793

* Corresponding Author

 

 

ABSTRACT

 

This study evaluates a class of novel cellular automata models that can accurately describe structural transformations in physical systems characterized by isotropic growth of objects and complicated morphology. The algorithms designed for these models are highly suitable for parallel processing and their implementation on an INTEL hypercube is discussed. For a given number of processors, the speedup and efficiency increase with increasing size of the cellular array. This implies that in the practically interesting case of large cellular arrays, we can use efficiently a very large number of processors.

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