AINeutralarXiv – CS AI · Jun 26/10
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PALTO: Physics-Informed Active Learning for Tri-Gate FinFET Design Optimization for Vertical Power Delivery
Researchers demonstrate a physics-informed machine learning framework called PALTO for optimizing GaN tri-gate FinFET designs in power delivery systems, achieving 2× better performance than industrial benchmarks through intelligent exploration of device parameters. The approach addresses computational limitations of traditional TCAD simulations while enabling discovery of optimal gate-to-drain configurations and channel thickness ratios.