2019
DOI: 10.30880/jst.2019.11.01.001
|View full text |Cite
|
Sign up to set email alerts
|

Numerical Optimization for Source-Drain Channel Resistance of AlGaN/GaN HEMTS

Abstract: A numerical model for the source-drain channel resistance based high electron mobility transistors has been developed that is capable to predict accurately the effects of polarization Coulomb Field Scattering (PCF), multi sub-band on source-drain channel resistance. Salient features of the model are incorporated of fully and partially occupied sub-bands in the interface quantum well, combined with a self-consistent solution of the Schrödinger and Poisson equations. In addition, to develop the model, accurate t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 25 publications
(38 reference statements)
0
1
0
Order By: Relevance
“…AlGaN/GaN high electron mobility transistor (HEMT) devices are considered to be very promising candidates for high-speed and high-power applications [1,2]. These devices offer advantages such as high breakdown voltage, high charge density, and good electron mobility [3][4][5]. The formation of the 2-D electron gas (2DEG) in these devices is the heart of the device operation and has been studied in great detail in the literature.…”
Section: Introductionmentioning
confidence: 99%
“…AlGaN/GaN high electron mobility transistor (HEMT) devices are considered to be very promising candidates for high-speed and high-power applications [1,2]. These devices offer advantages such as high breakdown voltage, high charge density, and good electron mobility [3][4][5]. The formation of the 2-D electron gas (2DEG) in these devices is the heart of the device operation and has been studied in great detail in the literature.…”
Section: Introductionmentioning
confidence: 99%