有热和磁场影响的半导体器件问题的上风区块中心多步差分法

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Changfeng Li , Yirang Yuan
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引用次数: 0

摘要

本文讨论了包含两个重要因素的半导体器件数学模型。热影响和磁影响被一并考虑。其数值近似在信息科学和其他技术创新领域具有重要意义。主要的物理未知量(电势、电子浓度、空穴浓度和热量)由四个非线性 PDE 定义:一个椭圆方程、两个对流扩散方程和一个热导方程。采用保守的块中心法来逼近椭圆方程。时间 t 的导数 ∂∂t(⋅) 采用多步差分法离散化,以提高计算精度。扩散和对流项分别采用块中心差分法和上风近似法处理。这种复合数值方法适用于该非线性系统。首先,避免了数值分散和非物理振荡。其次,可同时获得未知量及其邻接向量。第三,保留了守恒定律。得出误差估计值。最后,给出了一些简单的示例来说明其效率和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Upwind block-centered multistep differences for semiconductor device problem with heat and magnetic influences

In this paper, a mathematical model of semiconductor device with two important factors is discussed. Heat and magnetic influences are considered together. Its numerical approximation is important in information science and other technological innovation fields. The major physical unknowns (the potential, electron concentration, hole concentration, and the heat) are defined by four nonlinear PDEs: an elliptic equation, two convection-diffusion equations and a heat conductor equation. A conservative block-centered method is used to approximate the elliptic equation. The derivatives to time t, t(), are discretized by multistep differences for improving the computational accuracy. The diffusions and convection terms are treated by block-centered differences and upwind approximations, respectively. This composite numerical method is suitable for this nonlinear system. Firstly, numerical dispersion and nonphysical oscillations are avoided. Secondly, the unknowns and their adjoint vectors are obtained simultaneously. Thirdly, the law of conservation is preserved. An error estimates is derived. Finally, simple examples are given for showing the efficiency and accuracy.

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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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