
394-MetaAI: Physics-Aware for Metasurface Discovery
The paper describes MetaAI, a physics-aware generative framework designed to automate the discovery of advanced metasurface structures. Unlike traditional methods that map desired performance directly to physical geometry, this model utilizes a current-diffusion transformer to estimate electrical current distributions across both spatial and frequency domains. By leveraging the rich physical information found in these currents, the system can generate non-intuitive architectures that surpass the performance limits of existing training data. This approach demonstrates high flexibility through…
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