| Literature DB >> 30998936 |
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.Keywords: Hybrid method; Inhomogeneous Stochastic Simulation Algorithm; Multi-Particle Collision dynamics; Reaction-diffusion systems; Stochastic simulation
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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