3 papers
cs.AI2026
Simulation-Aware In-Context Policy Improvement for LLM-Aided Analog Layout Refinement
Bingyang Liu, Ziming Wei, Xiaohan Gao +1
Analog IC layout design remains a labor-intensive iterative process dominated by simulation-driven refinement. Although end-to-end layout generators accelerate initial placement an…
cs.AR2026
PANDA: An LLM-Enhanced Performance-Driven Analog Design Framework Bridging Design Intent and Layout Generation
Haoyi Zhang, Weijian Fan, Xiaohan Gao +3
Traditional design of analog circuits heavily relies on manual interventions across topology, sizing, and layout, with prior automation addressing stages in isolation. In this work…
cs.AR2024
LayoutCopilot: An LLM-powered Multi-agent Collaborative Framework for Interactive Analog Layout Design
Bingyang Liu, Haoyi Zhang, Xiaohan Gao +5
Analog layout design heavily involves interactive processes between humans and design tools. Electronic Design Automation (EDA) tools for this task are usually designed to use scri…