Learning Design Skills as Memory Policies for Agentic Photonic Inverse Design 事件

Learning Design Skills as Memory Policies for Agentic Photonic Inverse Design arXiv:2605.29421v1 Announce Type: new Abstract: Photonic crystal fiber (PCF) inverse design remains challenging because candidate geometries must satisfy coupled optical targets under expensive electromagnetic simulation. Existing pipelines improve surrogate prediction or one-shot parameter recommendation, but they do not accumulate reusable design knowledge across iterative trials. We formulate PCF inverse design as