Artificial Intelligence-Generated Photonics: Map Optical Properties to Subwavelength Structures Directly via a Diffusion Model
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Harnessing the power of generative AI, researchers at Tsinghua University have developed AIGP--a diffusion-based generative framework that enables instant translation of optical properties into fabrication-ready metasurfaces. By using transmission, phase, and polarization as "prompts," AIGP directly maps optical properties to subwavelength, fabricable structures, generating high-fidelity metasurface designs in seconds. This breakthrough overcomes critical bottlenecks in photonic inverse design and paves the way for large-scale, AI-driven generative optical devices. 
