Work

AI for optical metasurface

Year: 2024

Type: article

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.

Source: npj Nanophotonics

DOI: 10.1038/s44310-024-00037-2

Authors: Akira Ueno, Juejun Hu, Sensong An

Institutions: Massachusetts Institute of Technology, University of North Texas

Language: English

Topic: Metamaterials and Metasurfaces Applications

Subfield: Electronic, Optical and Magnetic Materials

Field: Materials Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,090

Funders: National Science Foundation, AGC