Literature DB >> 15244531

Hybrid method for simulating front propagation in reaction-diffusion systems.

Esteban Moro1.   

Abstract

We study the propagation of pulled fronts in the A<--> A+A microscopic reaction-diffusion process using Monte Carlo simulations. In the mean field approximation the process is described by the deterministic Fisher-Kolmogorov-Petrovsky-Piscounov equation. In particular, we concentrate on the corrections to the deterministic behavior due to the number of particles per correlated volume Omega. By means of a hybrid simulation scheme, we manage to reach large macroscopic values of Omega, which allows us to show the importance in the dynamics of microscopic pulled fronts of the interplay of microscopic fluctuations and their macroscopic relaxation.

Year:  2004        PMID: 15244531     DOI: 10.1103/PhysRevE.69.060101

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  10 in total

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2.  Coupling volume-excluding compartment-based models of diffusion at different scales: Voronoi and pseudo-compartment approaches.

Authors:  P R Taylor; R E Baker; M J Simpson; C A Yates
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4.  Convergence of methods for coupling of microscopic and mesoscopic reaction-diffusion simulations.

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5.  Incorporating domain growth into hybrid methods for reaction-diffusion systems.

Authors:  Cameron A Smith; Christian A Yates
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6.  A hybrid algorithm for coupling partial differential equation and compartment-based dynamics.

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Review 8.  Spatially extended hybrid methods: a review.

Authors:  Cameron A Smith; Christian A Yates
Journal:  J R Soc Interface       Date:  2018-02       Impact factor: 4.118

9.  The auxiliary region method: a hybrid method for coupling PDE- and Brownian-based dynamics for reaction-diffusion systems.

Authors:  Cameron A Smith; Christian A Yates
Journal:  R Soc Open Sci       Date:  2018-08-01       Impact factor: 2.963

10.  The blending region hybrid framework for the simulation of stochastic reaction-diffusion processes.

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Journal:  J R Soc Interface       Date:  2020-10-21       Impact factor: 4.118

  10 in total

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