A Self-Calibrating Framework for Analog Circuit Sizing Using LLM-Derived Analytical Equations

Excerpt

arXiv:2604.07387v3 Announce Type: replace-cross Abstract: 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. A deterministic calibration loop e