AI for optical metasurface
Akira Ueno, Juejun Hu, Sensong An
Abstract
Optical metasurfaces, planar artificial media capable of controlling light propagation, are transitioning from laboratory curiosity to commercial applications. This shift requires advanced meta-atom and metasurface designs, considering manufacturability and enhancing optical performance with post-processing algorithms. Artificial-Intelligence(AI), particularly machine-learning(ML) and optimization, offers solutions to these demands. This perspective systematically reviews AI’s potential impact in three critical areas: AI-enabled metasurface design-for-manufacturing(DFM), design beyond the classical local phase approximation, and AI-empowered computational backend.
Topics & Concepts
Computer scienceOpticsOptoelectronicsMaterials sciencePhysicsMetamaterials and Metasurfaces ApplicationsPlasmonic and Surface Plasmon ResearchOptical Wireless Communication Technologies