2019
DOI: 10.1002/jnm.2648
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An improved temperature dependent analytical model to predict AlGaN/GaN high electron mobility transistors AC characteristics

Abstract: In this paper, an improved temperature dependent model has been presented to predict AC characteristics of submicron AlGaN/GaN high electron mobility transistors (HEMTs). The model evaluates effects of channel temperature on the device AC intrinsic parameters. It has been shown that the rise of channel temperature is almost linear in nature, and it depends upon both the ambient temperature as well as on the operating voltages of the device. By reassessing two dimensional electron gas (2‐DEG) carrier concentrat… Show more

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Cited by 3 publications
(2 citation statements)
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“…Moreover, the scalability is essential for large‐signal modeling. Therefore, an accurate scalable large‐signal model considering self‐heating effect is crucial for circuit designer to predict the S‐parameters, direct current (DC) I‐V curves, and large‐signal characteristics such as maximum output power ( P out ), power gain (Gain), and power added efficiency (PAE) 6–10 …”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Moreover, the scalability is essential for large‐signal modeling. Therefore, an accurate scalable large‐signal model considering self‐heating effect is crucial for circuit designer to predict the S‐parameters, direct current (DC) I‐V curves, and large‐signal characteristics such as maximum output power ( P out ), power gain (Gain), and power added efficiency (PAE) 6–10 …”
Section: Introductionmentioning
confidence: 99%
“…Several scalable large‐signal models with self‐heating effect are developed, 10–12,23–25 and most models have realized the scalability by adding linear scaling factors to the equivalent circuit parameters and empirical drain‐source current formula. However, the accuracy of the scalable model may be reduced as the gate‐width of GaN HEMT devices increases.…”
Section: Introductionmentioning
confidence: 99%