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A random walk on small spheres method for solving transient anisotropic diffusion problems

机译:随机游走小球法求解瞬态各向异性扩散问题

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A meshless stochastic algorithm for solving anisotropic transient diffusion problems based on an extension of the classical Random Walk on Spheres method is developed. Direct generalization of the Random Walk on Spheres method to anisotropic diffusion equations is not possible, therefore, we have derived approximations of the probability densities for the first passage time and the exit point on a small sphere. The method can be conveniently applied to solve diffusion problems with spatially varying diffusion coefficients and is simply implemented for complicated three-dimensional domains. Particle tracking algorithm is highly efficient for calculation of fluxes to boundaries. We present some simulation results in the case of cathodolu-minescence and electron beam induced current in the vicinity of a dislocation in a semiconductor material.
机译:基于经典的“随机游走球”方法,提出了一种求解各向异性瞬态扩散问题的无网格随机算法。无法将球面上的随机游走法直接推广到各向异性扩散方程,因此,我们得出了小球上第一次通过时间和出口点的概率密度的近似值。该方法可以方便地应用于解决具有空间变化的扩散系数的扩散问题,并且可以简单地用于复杂的三维域。粒子跟踪算法对于边界通量的计算非常有效。我们提出了一些在阴极发光和电子束感应电流在半导体材料中的位错附近的情况下的模拟结果。

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