White-Op uses LLM agents for interpretable op-amp behavioral design via formalized symbolic reasoning, pole-zero handling, and iterative simulation-based refinement, succeeding on all 9 tested topologies with 8.52% average error where black-box methods fail.
Jespers,The gm/ID Methodology, a sizing tool for low-voltage analog CMOS Circuits: The semi-empirical and compact model approaches
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LLM-Assisted Op-Amp Behavioral-Level Design via Agentic Human-Mimicking Reasoning
White-Op uses LLM agents for interpretable op-amp behavioral design via formalized symbolic reasoning, pole-zero handling, and iterative simulation-based refinement, succeeding on all 9 tested topologies with 8.52% average error where black-box methods fail.