Agentic metasurface design with self-correcting language-model systems
Bei Wu, Bo Xiong, Haiyao Luo, Yaqi Li, Li Zhang, Qiaolu Chen, Hongsheng Chen, Yihao Yang

TL;DR
MetaDesigner is a self-correcting language-model system that autonomously plans, executes, and repairs complex metasurface optical designs from natural language objectives, demonstrating high accuracy across multiple advanced tasks.
Contribution
It introduces MetaDesigner, a novel self-correcting language-model framework that automates and enhances the entire metasurface design process from natural language instructions.
Findings
Successfully designed a RGB metalens with three focal spots.
Achieved a full-color hologram with SSIM of 0.97.
Created an optoelectronic neural network for image style transfer.
Abstract
Automated metasurface design is increasingly important, and recent advances in language-model systems are opening a route toward agentic optical design. Yet modern metasurface applications, from metalenses and holography to optical computing, require long design chains spanning modeling, simulation, coding, optimization and evaluation. These chains are error-prone, whereas existing language-model-based metasurface tools remain largely limited to simple objectives, predefined pipelines or language-to-layout generation. Here we introduce MetaDesigner, a self-correcting language-model system for agentic metasurface design. From a natural-language optical objective, MetaDesigner plans the design route, retrieves domain knowledge, invokes simulation and optimization tools, generates missing tool code and identifies errors through a dedicated Verifier. We demonstrate three tasks of increasing…
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