Continuous-space event-driven simulations of reaction-diffusion processes in three dimensions
Abstract
We show that reaction-diffusion processes in three dimensions can be efficiently handled by event-driven numerical simulations, based on statistical waiting times (Gillespie's Monte-Carlo method). The algorithm is efficient for dilute systems, since diffusion is not simulated, only the result of diffusion between events needs to be implemented.
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