Th3F: AI for Design and Optimization of RFICs and Arrays

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Thu 19 Jun | 13:30 - 15:10
211
AI for Design and Optimization of RFICs and Arrays
Zheng Liu
Texas Instruments
Chenhao Chu
ETH Zürich
This session explores advances in leveraging AI/ML for RF/mm-wave/sub-THz circuit design, modeling, and optimization. The papers demonstrate synthesis of complex electromagnetic structures, mm-wave PA design and array optimization using AI/ML methods.
13:30 - 13:50
Th3F-1 Algorithmic Design of Nonintuitive On-Chip Multilayered Passive Networks
ABSTRACT
Vinay Chenna, Hossein Hashemi
Univ. of Southern California, Univ. of Southern California
13:50 - 14:10
Th3F-2 A D-Band InP Power Amplifier Featuring Fully AI-Generated Passive Networks
ABSTRACT
Song Hang Chai, Hyunsu Chae, Hao Yu, David Z. Pan, Sensen Li
Univ. of Texas at Austin, Univ. of Texas at Austin, Univ. of Texas at Austin, Univ. of Texas at Austin, Univ. of Texas at Austin
14:10 - 14:30
Th3F-3 AI-Assisted Template-Seeded Pixelated Design for Multi-Metal-Layer High-Coupling EM Structures: A Ku-Band 6G FR3 PA in 22nm FDX+
ABSTRACT
Chenhao Chu, Jinglong Xu, Yuqi Liu, Jianping Zeng, Adam Wang, Takuma Torii, Shintaro Shinjo, Koji Yamanaka, Hua Wang
ETH Zürich, ETH Zürich, ETH Zürich, ETH Zürich, ETH Zürich, Mitsubishi Electric, Mitsubishi Electric, Mitsubishi Electric, ETH Zürich
14:30 - 14:50
Th3F-4 Dall-EM: Generative AI with Diffusion Models for New Design Space Discovery and Target-to-Electromagnetic Structure Synthesis
ABSTRACT
Yingqing Guo, Emir Ali Karahan, Zihao Li, Zijian Shao, Zaixi Zhang, Mengdi Wang, Kaushik Sengupta
Princeton Univ., Princeton Univ., Princeton Univ., Princeton Univ., Princeton Univ., Princeton Univ., Princeton Univ.
14:50 - 15:10
Th3F-5 On-Board Array Self-Calibration Using Amplitude-Only Proximal-Field Sensors and Machine-Learning-Based Phase Retrieval
ABSTRACT
Ailec Wu, Imaad A. Syed, Alex Ayling, Ali Hajimiri
Caltech, Caltech, Caltech, Caltech
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