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Numerically exact diffusion coefficients for lattice systems with periodic boundary conditions. I. Theory

机译:具有周期边界条件的晶格系统的数值精确扩散系数。一,理论

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摘要

The standard method to study the diffusion of a particle in a system with immobile obstacles is to use Monte Carlo simulations on finite-size lattices with periodic boundary conditions. For example, the diffusion of proteins on the surface of biomembranes in the presence of fractal and random aggregates of obstacles has been studied extensively by M. J. Saxton. In this article, we derive two algebraically exact methods to calculate the diffusion coefficient D for such systems. The first method reduces the problem to that of a first passage problem. The second one uses the Nernst-Einstein relation to transform the problem into a field-driven drift problem where D is related to the zero-field mobility. Systems with closed volumes and multiple independent pathways are discussed. In the second part [Mercier and Slater, j. Chem. Phys. 110 6057 (1999), following paper], a numerical implementation will be described and tested, and several examples of applications will be given.
机译:研究具有固定障碍的系统中粒子扩散的标准方法是在具有周期性边界条件的有限尺寸晶格上使用Monte Carlo模拟。例如,M.J.Saxton已广泛研究了在存在分形和障碍物的随机聚集体的情况下蛋白质在生物膜表面的扩散。在本文中,我们导出了两种代数精确方法来计算此类系统的扩散系数D。第一种方法将问题简化为第一遍问题。第二种方法使用Nernst-Einstein关系将问题转换为场驱动的漂移问题,其中D与零场迁移率有关。讨论了具有封闭卷和多个独立路径的系统。在第二部分[Mercier和Slater,j。化学物理110 6057(1999),下面的论文],将描述和测试一个数值实现,并给出几个应用示例。

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