Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-39862
Bayati, B; Chatelain, P; Koumoutsakos, P (2008). Multiresolution stochastic simulations of reaction-diffusion processes. Physical Chemistry Chemical Physics (PCCP), 10(39):5963-6.
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Stochastic simulations of reaction-diffusion processes are used extensively for the modeling of complex systems in areas ranging from biology and social sciences to ecosystems and materials processing. These processes often exhibit disparate scales that render their simulation prohibitive even for massive computational resources. The problem is resolved by introducing a novel stochastic multiresolution method that enables the efficient simulation of reaction-diffusion processes as modeled by many-particle systems. The proposed method quantifies and efficiently handles the associated stiffness in simulating the system dynamics and its computational efficiency and accuracy are demonstrated in simulations of a model problem described by the Fisher-Kolmogorov equation. The method is general and can be applied to other many-particle models of physical processes.
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|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||Special Collections > SystemsX.ch
Special Collections > SystemsX.ch > Research, Technology and Development Projects > WingX
|DDC:||570 Life sciences; biology|
|Deposited On:||08 Dec 2010 13:06|
|Last Modified:||27 Nov 2013 18:43|
|Publisher:||Royal Society of Chemistry|
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