4.7 Article

Perspective: Stochastic algorithms for chemical kinetics

期刊

JOURNAL OF CHEMICAL PHYSICS
卷 138, 期 17, 页码 -

出版社

AIP Publishing
DOI: 10.1063/1.4801941

关键词

-

资金

  1. University of California, Santa Barbara [130401A40, R01-EB014877-01]
  2. National Science Foundation (NSF) [DMS-1001012]
  3. U.S. Army Research Office [W911NF-09-0001]
  4. NIBIB of the NIH [R01-EB014877-01]
  5. (U.S.) Department of Energy (DOE) [DE-SC0008975]
  6. U.S. Department of Energy (DOE) [DE-SC0008975] Funding Source: U.S. Department of Energy (DOE)
  7. Direct For Mathematical & Physical Scien [1001012] Funding Source: National Science Foundation
  8. Division Of Mathematical Sciences [1001012] Funding Source: National Science Foundation

向作者/读者索取更多资源

We outline our perspective on stochastic chemical kinetics, paying particular attention to numerical simulation algorithms. We first focus on dilute, well-mixed systems, whose description using ordinary differential equations has served as the basis for traditional chemical kinetics for the past 150 years. For such systems, we review the physical and mathematical rationale for a discrete-stochastic approach, and for the approximations that need to be made in order to regain the traditional continuous-deterministic description. We next take note of some of the more promising strategies for dealing stochastically with stiff systems, rare events, and sensitivity analysis. Finally, we review some recent efforts to adapt and extend the discrete-stochastic approach to systems that are not well-mixed. In that currently developing area, we focus mainly on the strategy of subdividing the system into well-mixed subvolumes, and then simulating diffusional transfers of reactant molecules between adjacent subvolumes together with chemical reactions inside the subvolumes. (C) 2013 AIP Publishing LLC.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据