Implementation of Automatic Differentiation to Python-based Semiconductor Device Simulator

T. Ikegami, K. Fukuda, J. Hattori
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引用次数: 1

Abstract

A Python-based device simulator named Impulse TCAD was developed. The simulator is built on top of a nonlinear finite volume method (FVM) solver. To describe physical behavior of non-standard materials, both device properties and their dominant equations can be customized. The given FVM equations are solved by the Newton method, where required derivatives of the equations are derived automatically by using an automatic differentiation technique. As a demonstration, a steady state analysis of the negative capacitance field effect transistors with ferroelectric materials is selected, where the coupled Poisson and Devonshire equations are implemented in several different ways.
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基于python的半导体器件模拟器的自动微分实现
开发了一个基于python的设备模拟器Impulse TCAD。该仿真器建立在非线性有限体积法(FVM)求解器的基础上。为了描述非标准材料的物理行为,器件性质和它们的主导方程都可以定制。用牛顿法求解给定的FVM方程,其中利用自动微分技术自动求出方程的所需导数。为了证明这一点,选择了铁电材料负电容场效应晶体管的稳态分析,其中耦合泊松和德文夏方程以几种不同的方式实现。
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