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.
Domain knowledge- infused deep learning for automated analog/radio-frequency circuit parameter optimization
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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.