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Micromachines
Volume 16
Issue 9
10.3390/mi16091005
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Characteristics Prediction and Optimization of GaN CAVET Using a Novel Physics-Guided Machine Learning Method

by
Wenbo Wu
1,
Jie Wang
1,*,
Jiangtao Su
1,
Zhanfei Chen
2 and
Zhiping Yu
3
1
Innovation Center for Electronic Design Automation Technology, Hangzhou Dianzi University, Hangzhou 310018, China
2
Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo 315200, China
3
School of Integrated Circuits, Tsinghua University, Beijing 100084, China
*
Author to whom correspondence should be addressed.
Micromachines 2025, 16(9), 1005; https://doi.org/10.3390/mi16091005 (registering DOI)
Submission received: 4 August 2025 / Revised: 26 August 2025 / Accepted: 27 August 2025 / Published: 30 August 2025
(This article belongs to the Special Issue Power Semiconductor Devices and Applications, 3rd Edition)
Review Reports Versions Notes

Abstract

This paper presents a physics-guided machine learning (PGML) approach to model the I-V characteristics of GaN current aperture vertical field effect transistors (CAVET). By adopting the method of transfer learning and the shortcut structure, a physically guided neural network model is established. The shallow neural network with <!-- MathType@Translator@5@5@MathML2 (no namespace).tdl@MathML 2.0 (no namespace)@ -->

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MDPI and ACS Style

Wu, W.; Wang, J.; Su, J.; Chen, Z.; Yu, Z. Characteristics Prediction and Optimization of GaN CAVET Using a Novel Physics-Guided Machine Learning Method. Micromachines 2025, 16, 1005. https://doi.org/10.3390/mi16091005

AMA Style

Wu W, Wang J, Su J, Chen Z, Yu Z. Characteristics Prediction and Optimization of GaN CAVET Using a Novel Physics-Guided Machine Learning Method. Micromachines. 2025; 16(9):1005. https://doi.org/10.3390/mi16091005

Chicago/Turabian Style

Wu, Wenbo, Jie Wang, Jiangtao Su, Zhanfei Chen, and Zhiping Yu. 2025. "Characteristics Prediction and Optimization of GaN CAVET Using a Novel Physics-Guided Machine Learning Method" Micromachines 16, no. 9: 1005. https://doi.org/10.3390/mi16091005

APA Style

Wu, W., Wang, J., Su, J., Chen, Z., & Yu, Z. (2025). Characteristics Prediction and Optimization of GaN CAVET Using a Novel Physics-Guided Machine Learning Method. Micromachines, 16(9), 1005. https://doi.org/10.3390/mi16091005

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