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- W2074370593 abstract "Stochastic reaction-diffusion systems frequently exhibit behavior that is not predicted by deterministic simulation models. Stochastic simulation methods, however, are computationally expensive. We present a more efficient stochastic reaction-diffusion simulation algorithm that samples realizations from the exact solution of the reaction-diffusion master equation. The present algorithm, called partial-propensity stochastic reaction-diffusion (PSRD) method, uses an on-lattice discretization of the reaction-diffusion system and relies on partial-propensity methods for computational efficiency. We describe the algorithm in detail, provide a theoretical analysis of its computational cost, and demonstrate its computational performance in benchmarks. We then illustrate the application of PSRD to two- and three-dimensional pattern-forming Gray-Scott systems, highlighting the role of intrinsic noise in these systems." @default.
- W2074370593 created "2016-06-24" @default.
- W2074370593 creator A5061176766 @default.
- W2074370593 creator A5088460001 @default.
- W2074370593 date "2011-12-23" @default.
- W2074370593 modified "2023-10-18" @default.
- W2074370593 title "Exact on-lattice stochastic reaction-diffusion simulations using partial-propensity methods" @default.
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- W2074370593 doi "https://doi.org/10.1063/1.3666988" @default.
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