Abstract
We introduce a universal design platform for the development of highly-efficient wavefront engineering structures. To validate this methodology, we fabricated many different optical devices with an experimental efficiency exceeding 99%.
- Title
- Highly-efficient flat-optics inverse design platform via fast trained neural predictors
- Creators - without role
- Maksim Makarenko - King Abdullah University of Science and TechnologyArturo Burguete-Lopez - King Abdullah University of Science and TechnologyFedor Getman - King Abdullah University of Science and TechnologyAndrea Fratalocchi - King Abdullah University of Science and Technology
- Contributors - without role
- Peter P Clark - Optikos Corp. (United States)Richard N Pfisterer - Product Innovation and Engineering (United States, Saint James) - LLCHenning Rehn - FISBA AG (Switzerland)Simon Thibault - Univ. Laval (Canada)
- Publication Details
- Vol.12078, pp.120781Y-120781Y-2
- Publisher
- SPIE
- Identifiers
- 9941012508331
- Academic Unit
- King Abdullah University of Science & Technology
- Language
- English
- Resource Type
- Conference proceeding