Prediction of the Large-Signal GaN HEMT Performance Using Accurate TCAD-Compact Modeling Method

Accurate prediction of the large-signal power performance of gallium nitride (GaN) high electron mobility transistors (HEMTs) can be achieved by combining TCAD device modeling with the RF simulations of a physics-based compact model, equipped with a precise trap description. A TCAD computational framework well-calibrated with small-signal and drain-lag measurements from an AlGaN/GaN device served as an input for compact model extraction. The validity of the approach is confirmed through comparison with measurements on devices with different dimensions and locations on the wafer.

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Publication Details

Published
2024-09-23
DOI
https://doi.org/10.23919/eumic61603.2024.10732230
Primary Topic
GaN-based semiconductor devices and materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Prediction of the Large-Signal GaN HEMT Performance Using Accurate TCAD-Compact Modeling Method

Matthias Rudolph, Christos Zervos, Petros Beleniotis
GaN-based semiconductor devices and materials
article

Prediction of the Large-Signal GaN HEMT Performance Using Accurate TCAD-Compact Modeling Method

Matthias Rudolph, Christos Zervos, Petros Beleniotis
article en

Abstract

Accurate prediction of the large-signal power performance of gallium nitride (GaN) high electron mobility transistors (HEMTs) can be achieved by combining TCAD device modeling with the RF simulations of a physics-based compact model, equipped with a precise trap description. A TCAD computational framework well-calibrated with small-signal and drain-lag measurements from an AlGaN/GaN device served as an input for compact model extraction. The validity of the approach is confirmed through comparison with measurements on devices with different dimensions and locations on the wafer.

Brandenburg University of Technology Cottbus-Senftenberg (DE)
Ministry of Education, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 88%
GaN-based semiconductor devices and materials
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