TACS-RF 论文提出用 Claude Opus 4.8 智能体驱动 EDA 工具设计 240-251 GHz 射频发射机
TACS-RF: Tool-driven Agentic Circuit Synthesis of RF and mmWave Modules
AI 导读
论文提出 TACS-RF 框架，让基于 Claude Opus 4.8 的 LLM 编码智能体直接驱动 Cadence Virtuoso/Spectre、Calibre、Cadence EMX 和 Ansys HFSS 等工业级 EDA 工具，设计射频与毫米波模块。
正文 · 原文
Abstract:We present the framework of TACS-RF - a Tool-driven Agentic Circuit Synthesis of RF and mmWave modules. In this framework, a large-language-model (LLM) coding agent (Claude Opus 4.8) directly drives industry-standard electronic-design-automation (EDA) tools such as Cadence Virtuoso/Spectre, Calibre, Cadence EMX, and Ansys HFSS to design RF and mmWave modules. We validate the framework through the agentic design of a 240-251 GHz sub-THz transmitter in a 90 nm SiGe BiCMOS process. The agent semi-autonomously designed the sub-blocks including a 60 GHz push-push Colpitts VCO with second-harmonic extraction, multistage differential cascode power drivers, a push-push frequency doubler, a differential bowtie antenna, and all the interstage matching networks. The transmitter chain with parasitic-extracted devices and EM-verified passives delivers +5.1 to +6.3 dBm across an 11 GHz varactor-only tuning range, phase noise of -80 to -88 dBc/Hz at 1 MHz offset while consuming a DC power of 361 mW. We describe the agent-driven design flow and the resulting division of labor between human and agent, taking a step toward a "text-to-ASIC" future for designing RF/mmWave hardware.
| Comments: | Accepted for presentation at the 2027 IEEE Radio and Wireless Week (RWW), Silicon Monolithic Integrated Circuits in RF Systems (SiRF) |
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.31882 [cs.AI] |
| (or arXiv:2610.31882v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.31882 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Tristan Liang [view email]
[v1]
Thu, 22 Oct 2026 20:23:05 UTC (3,664 KB)
来源：arXiv cs.AI · arxiv.org