Title : ( مدل سازی تحلیلی ترانزیستورهای موبیلیتی بالای AlGaN/GaN با لایه p در سد )
Authors: ROBAB MADADI , Seyed Ebrahim Hosseini ,Abstract
In this paper, we present a two-dimensional (2D) analytical modelling of a high electron mobility transistor (HEMT) with a p-layer in the barrier layer. In this model, the channel potential and electric field distributions are derived based on 2D Laplace equation, with Equivalent Potential Method (EPM) and appropriate boundary conditions, and under two assumptions of complete depletion/incomplete depletion. The EPM indicates that charges in the depletion region can be equated to a potential at passivation surface layer. This analytical model shows great simplicity and accuracy. It gives physical insights into the breakdown characteristics of the AlGaN/GaN HEMT with a p-layer in the barrier. This structure reduces the peak electric field at the gate corner near the drain and a new electric field peak is introduced by electric field modulation, which makes the electric field distribution of channel more uniform and, consequently increases the breakdown voltage of the device. The dependence of the channel potential and electric field distributions on length and thickness of the p-layer are investigated. The validity of this model is demonstrated by comparison with the numerical simulations using Silvaco-Atlas device simulator.
Keywords
, Analytical model, Laplace Equations, Equivalent Potential Method (EPM), potential, electric field, p-layer@article{paperid:1102665,
author = {MADADI, ROBAB and Hosseini, Seyed Ebrahim},
title = {مدل سازی تحلیلی ترانزیستورهای موبیلیتی بالای AlGaN/GaN با لایه p در سد},
journal = {مهندسی برق دانشگاه تبریز},
year = {2024},
month = {July},
issn = {2008-7799},
keywords = {Analytical model; Laplace Equations; Equivalent Potential Method (EPM); potential; electric field; p-layer},
}
%0 Journal Article
%T مدل سازی تحلیلی ترانزیستورهای موبیلیتی بالای AlGaN/GaN با لایه p در سد
%A MADADI, ROBAB
%A Hosseini, Seyed Ebrahim
%J مهندسی برق دانشگاه تبریز
%@ 2008-7799
%D 2024
