Cellular automata models of chemical systems

This paper describes the use of kinematic, asynchronous, stochastic cellula r automata to model liquid properties, solution phenomena and kinetic pheno mena encountered in complex biological systems. Cellular automata models of dynamic phenomena represent in silico experiments designed to assess the e ffects of competing factors on the physical and chemical properties of solu tions and other complex systems. Specific applications include solution beh avior, separation of immiscible liquids, micelle formation, diffusion, memb rane passage, first- and second-order chemical kinetics, enzyme activity an d acid dissociation. Cellular automata is thus considered as providing an e xploratory method for the analysis of dynamic phenomena and the discovery a nd understanding of new, unexpected phenomena.