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Tue 9 Jun | 15:40 - 17:20
Room 153AB
This session addresses advances in design automation, including developments in the growing fields of artificial intelligence (AI), digital twins, and deep learning for the design and optimization of circuits and systems. It presents works on system-oriented layout optimization of active circuits, continuation algorithms for nonlinear simulation, machine-learning-assisted design, and pixelated optimization and synthesis of passive structures. This session is held in honor of Vladimir G. Gelnovatch.
15:40 - 16:00
Tu4I-1 KEYNOTE: RF Digital Twins: Trading Off Fidelity and Performance Across Models, Simulation Tools, and Hardware Measurements
16:00 - 16:20
Tu4I-2 End-to-End AI and Transfer Learning-Based Power Amplifier Synthesis Considering Layout and PVT Effects
16:20 - 16:40
Tu4I-3 Redundancy-Guided Active Data Construction for Efficient ML-Assisted Microwave Design
16:40 - 17:00
Tu4I-4 Tracing Multi-valued Responses in Nonlinear Systems by Linking a Commercial HB Simulator to a Simplicial Algorithm
17:00 - 17:10
Tu4I-5 Advances in Pixelated 2D Electromagnetic Optimization with Distributed and Lumped Devices for Microwave Circuit Design
17:10 - 17:20
Tu4I-6 Scalable and Rapid Design of Pixelated Passive Networks via S-Parameter Matrix Synthesis and Cascaded Deep Learning