Abstract

One of the salient features of living systems is presence of autocatalytic chemical reaction networks. Here we present a stochastic model of an inorganic autocatalyst, which is derived directly from empirical results. Using the model, we can explore the emergence of autocatalysis and its consequences on the larger, hierarchical, chemical network. This model provides a useful tool to study the emergence and organization of autocatalytic chemical networks and the effect autocatalysis has on the global system dynamics.

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