AI for optical metasurface
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.
Authors
- Sensong An (ORCID: https://orcid.org/0000-0003-4098-916X)
- Akira Ueno (ORCID: https://orcid.org/0000-0003-0171-5836)
- Juejun Hu
Institutions
- University of North Texas (US)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- npj Nanophotonics
- Published
- 2024-09-02
- DOI
- https://doi.org/10.1038/s44310-024-00037-2
- Citations
- 31
- Primary Topic
- Metamaterials and Metasurfaces Applications
- Type
- article
- Field-Weighted Citation Impact
- 3.65
Funders
- National Science Foundation
- AGC