Continuous-space event-driven simulations of reaction-diffusion processes in three dimensions

Fuente: arXiv
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Auteur principal: Rossetto, Vincent
Format: Preprint
Publié: 2024
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author Rossetto, Vincent
author_facet Rossetto, Vincent
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2412_07740
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Continuous-space event-driven simulations of reaction-diffusion processes in three dimensions
Rossetto, Vincent
Statistical Mechanics
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.
title Continuous-space event-driven simulations of reaction-diffusion processes in three dimensions
topic Statistical Mechanics
url https://arxiv.org/abs/2412.07740