AI RESEARCH
A Self-Calibrating Framework for Analog Circuit Sizing Using LLM-Derived Analytical Equations
arXiv CS.AI
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ArXi:2604.07387v2 Announce Type: replace-cross We present a design automation framework for analog circuit sizing that produces calibrated, topology-specific analytical equations from raw circuit netlists. A large language model (LLM) derives a complete Python sizing function in which each device dimension is traceable to a specific design rationale - a form of interpretable output absent from existing optimization-based and LLM-based sizing methods.