RFAmpDesigner automates RF low-noise amplifier design across 10-50 GHz and 10-80% bandwidth using a multi-agent LLM system with resource-allocation middleware and retrieval-augmented self-evolution.
Anaflow: Agentic llm-based workflow for reasoning-driven explainable and sample-efficient analog circuit sizing
2 Pith papers cite this work. Polarity classification is still indexing.
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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.
citing papers explorer
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RFAmpDesigner: A Self-Evolving Multi-Agent LLM Framework for Automated Radio Frequency Amplifier Design
RFAmpDesigner automates RF low-noise amplifier design across 10-50 GHz and 10-80% bandwidth using a multi-agent LLM system with resource-allocation middleware and retrieval-augmented self-evolution.
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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.