AI-Enabled End-to-End Design in RFICs with Controllable Architectural Style from 'Classical' to 'Non-Intuitive' for mm-Wave/sub-THz LNAs

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Authors: Jonathan Zhou, Emir Ali Karahan, Juho Park¹, Sherif Ghozzy¹, Kaushik Sengupta
Cited by: 3
References: 18

Abstract

This paper introduces a unified algorithmic design flow for low-noise amplifiers (LNAs), spanning specifications to layout and integrating topology, architecture, circuit, and electromagnetic (EM) design in one framework. The algorithm supports designer input from classical to unconventional architectures, enhancing interpretability, debugging, and usability. We demonstrate two LNAs covering 24 to 150GHz with state-of-the-art performance, including novel architectures uncovered by the algorithm.

Fields of Study & Subjects

Radio Frequency Integrated Circuit Design Superconducting and THz Device Technology Advanced Power Amplifier Design

Publication details

Journal / source
2026 IEEE International Solid-State Circuits Conference (ISSCC)
Publisher
IEEE
Pages
1–3
Publication date
15 February 2026