期刊
JOURNAL OF CHEMICAL PHYSICS
卷 117, 期 15, 页码 6959-6969出版社
AMER INST PHYSICS
DOI: 10.1063/1.1505860
关键词
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Exact methods are available for the simulation of isothermal, well-mixed stochastic chemical kinetics. As increasingly complex physical systems are modeled, however, these methods become difficult to solve because the computational burden scales with the number of reaction events. This paper addresses one aspect of this problem: the case in which reacting species fluctuate by different orders of magnitude. By partitioning the system into subsets of fast and slow reactions, it is possible to bound the computational load by approximating fast reactions either deterministically or as Langevin equations. This paper provides a theoretical background for such approximations and outlines strategies for computing these approximations. Two motivating examples drawn from the fields of particle technology and biotechnology illustrate the accuracy and computational efficiency of these approximations. (C) 2002 American Institute of Physics.
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