Stochastic simulation algorithms for solving a nonlinear system of drift–diffusion-Poisson equations of semiconductors

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Stochastic simulation algorithms for solving a nonlinear system of drift–diffusion-Poisson equations of semiconductors. / Sabelfeld, Karl K.; Kireeva, Anastasya.

In: Physica A: Statistical Mechanics and its Applications, Vol. 556, 124800, 15.10.2020.

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

BibTeX

@article{ef5c00f7a90c479f8c41dd7f1b8d8562,

title = "Stochastic simulation algorithms for solving a nonlinear system of drift–diffusion-Poisson equations of semiconductors",

abstract = "Stochastic simulation algorithms for solving transient nonlinear drift diffusion recombination transport equations are developed. The governing system of equations includes two drift–diffusion equations coupled with a Poisson equation for the potential whose gradient forms the drift velocity. A stochastic algorithm for solving nonlinear drift–diffusion equations is proposed here for the first time. In each time step, the method calculates the solution on a cloud of points using a new global Monte Carlo random walk and Cellular Automata algorithms. The Poisson equation is solved by a global version of the Random Walk on Spheres method which calculates both the solutions and the derivatives without using finite difference approximations. The method is also able to calculate fluxes to any desired part of the boundary, from arbitrary sources. For transient drift–diffusion equations we suggest a stochastic expansion from cell to cell algorithm for calculating the whole solution field. All new global random walk algorithms developed in this paper are validated by comparing the simulation results with exact solutions. Application of the developed method to solve a system of 2D transport equations for electrons and holes in a semiconductor is given.",

keywords = "Drift–diffusion-Poisson equation, Global random walk on spheres, Stochastic expansion from cell to cell algorithm, Transport of electrons and holes, SPACE, Drift-diffusion-Poisson equation, RANDOM-WALK, MODEL, RECTANGLES",

author = "Sabelfeld, {Karl K.} and Anastasya Kireeva",

year = "2020",

month = oct,

day = "15",

doi = "10.1016/j.physa.2020.124800",

language = "English",

volume = "556",

journal = "Physica A: Statistical Mechanics and its Applications",

issn = "0378-4371",

publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Stochastic simulation algorithms for solving a nonlinear system of drift–diffusion-Poisson equations of semiconductors

AU - Sabelfeld, Karl K.

AU - Kireeva, Anastasya

PY - 2020/10/15

Y1 - 2020/10/15

N2 - Stochastic simulation algorithms for solving transient nonlinear drift diffusion recombination transport equations are developed. The governing system of equations includes two drift–diffusion equations coupled with a Poisson equation for the potential whose gradient forms the drift velocity. A stochastic algorithm for solving nonlinear drift–diffusion equations is proposed here for the first time. In each time step, the method calculates the solution on a cloud of points using a new global Monte Carlo random walk and Cellular Automata algorithms. The Poisson equation is solved by a global version of the Random Walk on Spheres method which calculates both the solutions and the derivatives without using finite difference approximations. The method is also able to calculate fluxes to any desired part of the boundary, from arbitrary sources. For transient drift–diffusion equations we suggest a stochastic expansion from cell to cell algorithm for calculating the whole solution field. All new global random walk algorithms developed in this paper are validated by comparing the simulation results with exact solutions. Application of the developed method to solve a system of 2D transport equations for electrons and holes in a semiconductor is given.

AB - Stochastic simulation algorithms for solving transient nonlinear drift diffusion recombination transport equations are developed. The governing system of equations includes two drift–diffusion equations coupled with a Poisson equation for the potential whose gradient forms the drift velocity. A stochastic algorithm for solving nonlinear drift–diffusion equations is proposed here for the first time. In each time step, the method calculates the solution on a cloud of points using a new global Monte Carlo random walk and Cellular Automata algorithms. The Poisson equation is solved by a global version of the Random Walk on Spheres method which calculates both the solutions and the derivatives without using finite difference approximations. The method is also able to calculate fluxes to any desired part of the boundary, from arbitrary sources. For transient drift–diffusion equations we suggest a stochastic expansion from cell to cell algorithm for calculating the whole solution field. All new global random walk algorithms developed in this paper are validated by comparing the simulation results with exact solutions. Application of the developed method to solve a system of 2D transport equations for electrons and holes in a semiconductor is given.

KW - Drift–diffusion-Poisson equation

KW - Global random walk on spheres

KW - Stochastic expansion from cell to cell algorithm

KW - Transport of electrons and holes

KW - SPACE

KW - Drift-diffusion-Poisson equation

KW - RANDOM-WALK

KW - MODEL

KW - RECTANGLES

UR - http://www.scopus.com/inward/record.url?scp=85086141307&partnerID=8YFLogxK

U2 - 10.1016/j.physa.2020.124800

DO - 10.1016/j.physa.2020.124800

M3 - Article

AN - SCOPUS:85086141307

VL - 556

JO - Physica A: Statistical Mechanics and its Applications

JF - Physica A: Statistical Mechanics and its Applications

SN - 0378-4371

M1 - 124800

ER -

ID: 24470415