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A random walk on small spheres method for solving transient anisotropic diffusion problems. / Shalimova, Irina; Sabelfeld, Karl K.

In: Monte Carlo Methods and Applications, Vol. 25, No. 3, 01.09.2019, p. 271-282.

Research output: Contribution to journal › Article › peer-review

Harvard

Shalimova, I & Sabelfeld, KK 2019, 'A random walk on small spheres method for solving transient anisotropic diffusion problems', Monte Carlo Methods and Applications, vol. 25, no. 3, pp. 271-282. https://doi.org/10.1515/mcma-2019-2047

APA

Shalimova, I., & Sabelfeld, K. K. (2019). A random walk on small spheres method for solving transient anisotropic diffusion problems. Monte Carlo Methods and Applications, 25(3), 271-282. https://doi.org/10.1515/mcma-2019-2047

Vancouver

Shalimova I, Sabelfeld KK. A random walk on small spheres method for solving transient anisotropic diffusion problems. Monte Carlo Methods and Applications. 2019 Sept 1;25(3):271-282. doi: 10.1515/mcma-2019-2047

Author

Shalimova, Irina ; Sabelfeld, Karl K. / A random walk on small spheres method for solving transient anisotropic diffusion problems. In: Monte Carlo Methods and Applications. 2019 ; Vol. 25, No. 3. pp. 271-282.

BibTeX

@article{7b74d694285a4285a839e19f6166785a,
title = "A random walk on small spheres method for solving transient anisotropic diffusion problems",
abstract = "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 cathodoluminescence and electron beam induced current in the vicinity of a dislocation in a semiconductor material.",
keywords = "Anisotropic diffusion equation, flux, spherical mean value relation",
author = "Irina Shalimova and Sabelfeld, {Karl K.}",
year = "2019",
month = sep,
day = "1",
doi = "10.1515/mcma-2019-2047",
language = "English",
volume = "25",
pages = "271--282",
journal = "Monte Carlo Methods and Applications",
issn = "0929-9629",
publisher = "Walter de Gruyter GmbH",
number = "3",

}

RIS

TY - JOUR

T1 - A random walk on small spheres method for solving transient anisotropic diffusion problems

AU - Shalimova, Irina

AU - Sabelfeld, Karl K.

PY - 2019/9/1

Y1 - 2019/9/1

N2 - 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 cathodoluminescence and electron beam induced current in the vicinity of a dislocation in a semiconductor material.

AB - 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 cathodoluminescence and electron beam induced current in the vicinity of a dislocation in a semiconductor material.

KW - Anisotropic diffusion equation

KW - flux

KW - spherical mean value relation

UR - http://www.scopus.com/inward/record.url?scp=85071424682&partnerID=8YFLogxK

U2 - 10.1515/mcma-2019-2047

DO - 10.1515/mcma-2019-2047

M3 - Article

AN - SCOPUS:85071424682

VL - 25

SP - 271

EP - 282

JO - Monte Carlo Methods and Applications

JF - Monte Carlo Methods and Applications

SN - 0929-9629

IS - 3

ER -

ID: 21489611