On-demand Quick Metasurface Design with Neighborhood Attention Transformer

Understand

Metasurfaces are reshaping traditional optical paradigms and are increasingly required in complex applications that demand substantial computational resources to numerically solve Maxwell's equations-particularly for large-scale systems, inhomogeneous media, and densely packed metadevices.

• Conventional forward design using electromagnetic solvers is based on specific approximations, which may not effectively address complex problems.
• In contrast, existing inverse design methods are a stepwise process that is often time-consuming and involves repetitive computations.
• Here, we present an inverse design approach utilizing a surrogate Neighborhood Attention Transformer, MetaE-former, to predict the performance of metasurfaces with ultrafast speed and high accuracy.