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AnalogMind: An artificial intelligence system for analog circuit design.

Aug 2026 · Midwest Symposium on Circuits and Systems · pp. 693-697 · 0 citations · 9 references

Abstract

This work presents AnalogMind, a tool-augmented pipeline for analog circuit design, optimization, and education. The system accepts design specifications through natural language or configuration files, compiles them into parameterized SPICE netlists, and evaluates designs using closed-form equations, CMA-ES optimization, Pareto NSGA-II multi-objective search, and Monte Carlo yield analysis. A hardware prototype validates simulation results against a physically tunable Sallen-Key low-pass filter controlled by an STM32 microcontroller. Benchmarked against GPT-4o, GPT-4omini, and Claude Sonnet 4.6 on 87 circuit design tasks, AnalogMind achieved an 80.5% pass rate compared to a next-best of 36.8%, demonstrating that a simulation-backed pipeline significantly outperforms general-purpose LLMs on analog circuit design tasks.

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