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Multiscenario Coupled Model of GaN-on-Si HEMTs Epitaxial Design and Performance Improvement Based on Multiobjective Optimization Method

  • Borui Deng
  • , Yulong Fang
  • , He Guan
  • , Ziqiang Zeng
  • , Yongchuan Tang
  • , Ying Wang
  • Northwestern Polytechnical University Xian
  • Hebei Semiconductor Research Institute

Research output: Contribution to journalArticlepeer-review

Abstract

Gallium nitride high-electron mobility transistors (GaN-on-Si HEMTs) on silicon substrates exhibit significant potential in the field of radio frequency devices due to its high frequency, high-speed, and low-cost advantages. Nevertheless, the thermal stress caused by the mismatch in lattice parameters and the coefficient of thermal expansion between the Si substrate and GaN epitaxial layer constrains the device performance. Due to different temperature distributions in different scenarios, there is an urgent need for a model that can balance the contradiction between epitaxial growth and device operation for the joint design of GaN-on-Si HEMTs' epitaxial structures. This work presents thermal stress formulas specifically designed for GaN epitaxial growth and device operation, based on Townsend's theory of multilayer film curvature and stress. Furthermore, our work innovatively proposes a multiscenario coupled GaN-on-Si HEMTs' epitaxial structure design model based on multiobjective optimization. The model represents a combined objective function incorporating thermal stress experienced during device operation and epitaxial growth, as well as the total thermal resistance and bulk thermal conductivity of the epitaxial layer. Through simulation validation, the model has been proved to effectively calculate the optimized epitaxial structure parameters across multiple scenarios to meet diverse requirements. And it can effectively reduce the operating temperature. This model can accelerate the process of GaN epitaxial design and provide an effective method for enhancing the performance of GaN-on-Si HEMTs.

Original languageEnglish
Pages (from-to)2718-2724
Number of pages7
JournalIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Volume45
Issue number6
DOIs
StatePublished - 1 Jun 2026

Keywords

  • Epitaxial growth
  • multiobjective optimization
  • thermal conductivity
  • thermal resistance
  • thermal stress

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