arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0804.3288math.NAcs.NA

非结构化网格上的随机反应扩散过程模拟

Simulation of stochastic reaction-diffusion processes on unstructured meshes

Stefan Engblom, Lars Ferm, Andreas Hellander, Per Lötstedt

AI总结:

提出一种结合宏观有限元离散与介观主方程的混合算法,用于模拟非结构化网格上的随机反应扩散系统,并通过三个分子生物学实例验证其精度与效率。

摘要:

具有扩散的随机化学系统用反应扩散主方程建模。在宏观层面,控制方程是化学物种平均值的反应扩散方程。在介观层面,将充分搅拌化学系统的主方程与空间中的布朗运动相结合,得到反应扩散主方程。空间由非结构化网格覆盖,介观尺度上的扩散系数由宏观尺度上拉普拉斯算子的有限元离散得到。所得方法是一种灵活的混合算法,扩散可以在介观或宏观尺度上处理。通过三个受分子生物学启发的数值例子说明了该方法的准确性和效率。

英文摘要:

Stochastic chemical systems with diffusion are modeled with a reaction-diffusion master equation. On a macroscopic level, the governing equation is a reaction-diffusion equation for the averages of the chemical species. On a mesoscopic level, the master equation for a well stirred chemical system is combined with Brownian motion in space to obtain the reaction-diffusion master equation. The space is covered by an unstructured mesh and the diffusion coefficients on the mesoscale are obtained from a finite element discretization of the Laplace operator on the macroscale. The resulting method is a flexible hybrid algorithm in that the diffusion can be handled either on the meso- or on the macroscale level. The accuracy and the efficiency of the method are illustrated in three numerical examples inspired by molecular biology.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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