Literature DB >> 30998936

A hybrid method for micro-mesoscopic stochastic simulation of reaction-diffusion systems.

Alireza Sayyidmousavi1, Katrin Rohlf2, Silvana Ilie2.   

Abstract

The present paper introduces a new micro-meso hybrid algorithm based on the Ghost Cell Method concept in which the microscopic subdomain is governed by the Reactive Multi-Particle Collision (RMPC) dynamics. The mesoscopic subdomain is modeled using the Reaction-Diffusion Master Equation (RDME). The RDME is solved by means of the Inhomogeneous Stochastic Simulation Algorithm. No hybrid algorithm has hitherto used the RMPC dynamics for modeling reactions and the trajectories of each individual particle. The RMPC is faster than other molecular based methods and has the advantage of conserving mass, energy and momentum in the collision and free streaming steps. The new algorithm is tested on three reaction-diffusion systems. In all the systems studied, very good agreement with the deterministic solutions of the corresponding differential equations is obtained. In addition, it has been shown that proper discretization of the computational domain results in significant speed-ups in comparison with the full RMPC algorithm.
Copyright © 2019. Published by Elsevier Inc.

Keywords:  Hybrid method; Inhomogeneous Stochastic Simulation Algorithm; Multi-Particle Collision dynamics; Reaction-diffusion systems; Stochastic simulation

Mesh:

Year:  2019        PMID: 30998936     DOI: 10.1016/j.mbs.2019.04.001

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  1 in total

1.  Stochastic self-tuning hybrid algorithm for reaction-diffusion systems.

Authors:  Á Ruiz-Martínez; T M Bartol; T J Sejnowski; D M Tartakovsky
Journal:  J Chem Phys       Date:  2019-12-28       Impact factor: 3.488

  1 in total

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