A Comprehensive Investigation on Temperature-Dependent Small-Signal Characterization and Modeling of GaN HEMT on Si Substrate

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES Advanced Theory and Simulations Pub Date : 2025-03-04 DOI:10.1002/adts.202401555
Anwar Jarndal
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Abstract

Thermal effects represent a major challenge for all semiconductor devices, particularly high-power transistors such as GaN High Electron Mobility Transistors (HEMTs). The combined internal and external temperatures have a significant impact on the small and large signal characteristics of the device, degrading its performance. In this paper, a 10 × 200-µm GaN on Si substrate HEMT is characterized using small-signal S-parameter measurement setups at different ambient temperatures. The measurements are used to analyze the impact of temperature on the capacitances, inductances, and resistances of the transistor, as well as the gain and input/output reflection coefficients. Direct characterization of the gain shows a 3 dB reduction when the temperature increased by 100 °C. The results of the characterization are used to build a temperature-dependent model for the investigated device. The model's accuracy is validated through S-parameter simulation at different bias conditions and ambient temperatures. Additionally, the model's scalability has been demonstrated by modeling other GaN-on-Si HEMTs of different sizes. Excellent results and very good agreement between the simulations and measurements are achieved. The results of this investigation highlight the importance of thermal effects and the crucial need for efficient electrothermal modeling in designing reliable application circuits.

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Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
期刊介绍: Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including: materials, chemistry, condensed matter physics engineering, energy life science, biology, medicine atmospheric/environmental science, climate science planetary science, astronomy, cosmology method development, numerical methods, statistics
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