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Borui Deng

dblp:436/9405 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 61% Integrated circuit design · 30% Energy-efficient computing · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Integrated circuit design
analog and mixed-signal circuits
1.012026
Multiscenario Coupled Model of GaN-on-Si HEMTs Epitaxial Design and Performance Improvement Based on Multiobjective Optimization Method · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026
Electronic design automation
design optimization
1.012026
Multiscenario Coupled Model of GaN-on-Si HEMTs Epitaxial Design and Performance Improvement Based on Multiobjective Optimization Method · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026
Electronic design automation
multi-objective optimization
1.012026
Multiscenario Coupled Model of GaN-on-Si HEMTs Epitaxial Design and Performance Improvement Based on Multiobjective Optimization Method · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026
Energy-efficient computing
thermal management
0.312026
Multiscenario Coupled Model of GaN-on-Si HEMTs Epitaxial Design and Performance Improvement Based on Multiobjective Optimization Method · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026

Methods — techniques the papers use, named apart from their topics

townsend multilayer film curvature theory · 1.0multi-objective optimization · 1.0
YearPublicationVenuePosition
2026 Multiscenario Coupled Model of GaN-on-Si HEMTs Epitaxial Design and Performance Improvement Based on Multiobjective Optimization Method
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 the 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 multi-scenario coupled GaN-on-Si HEMTs epitaxial structure design model based on multi-objective 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.
Borui Deng, Yulong Fang, He Guan, Ziqiang Zeng
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1