Q
Quang Le
Researcher at University of Arkansas
Publications - 15
Citations - 170
Quang Le is an academic researcher from University of Arkansas. The author has contributed to research in topics: Power module & Parasitic extraction. The author has an hindex of 6, co-authored 15 publications receiving 104 citations.
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Journal ArticleDOI
PowerSynth: A Power Module Layout Generation Tool
Tristan Evans,Quang Le,Shilpi Mukherjee,Imam Al Razi,Thomas A. Vrotsos,Yarui Peng,Homer Alan Mantooth +6 more
TL;DR: An overview of the tool, its modeling methods, model validation, and module layout optimization are presented, and excellent agreement between the FEA simulations, experimental measurements, and PowerSynth predictions are demonstrated.
Journal ArticleDOI
Emerging trends in silicon carbide power electronics design
TL;DR: In this paper, the emergence of wide bandgap power semiconductor devices has opened the possibilities of improved electrical performance and power density, including advances in integrated circuit design, semiconductor device modeling, 3D electronic packaging, and computer-aided design of widebandgap based electronics.
Journal ArticleDOI
PowerSynth Design Automation Flow for Hierarchical and Heterogeneous 2.5-D Multichip Power Modules
TL;DR: A constraint-aware layout engine has been developed, which enables integrating heterogeneous components, handling complex geometry, exploring a larger solution space, improved success rate, and providing options for multiobjective optimization algorithms in the optimized MCPM layout design process.
Proceedings ArticleDOI
Toward Partial Discharge Reduction by Corner Correction in Power Module Layouts
Shilpi Mukherjee,Tristan Evans,Balaji Narayanasamy,Quang Le,Asif Imran Emon,Amol Deshpande,Fang Luo,Yarui Peng,Steve Pytel,Thomas A. Vrotsos,Alan Mantooth +10 more
TL;DR: In this article, the authors describe how various trace shapes play a critical role in the electrical reliability of modules with regard to electrical breakdown, and how to avoid sharp corners of traces by filleting the corners.
Proceedings ArticleDOI
Response surface modeling for parasitic extraction for multi-objective optimization of multi-chip power modules (MCPMs)
TL;DR: This work extends the current capabilities of PowerSynth to quickly and more accurately extract lumped RLC parameters by utilizing a response surface model.