AI RESEARCH
LLM-Assisted Op-Amp Behavioral-Level Design via Agentic Human-Mimicking Reasoning
arXiv CS.AI
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ArXi:2601.21321v2 Announce Type: replace This paper proposes White-Op, an operational amplifier (op-amp) behavioral-level parameter design framework assisted by the human-mimicking reasoning of large language model agents. A symbolic reasoning-numerical solving decoupled paradigm is adopted: the agent performs step-by-step symbolic reasoning and formulates the design as a white-box optimization problem, which is then solved programmatically, verified via simulation, and refined iteratively.