Highly-efficient flat-optics inverse design platform via fast trained neural predictors

Maksim Makarenko, A. Burguete-Lopez, Fedor Getman, Andrea Fratalocchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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%.
Original languageEnglish (US)
Title of host publicationInternational Optical Design Conference 2021
ISBN (Print)9781510650305
StatePublished - Nov 19 2021

Bibliographical note

KAUST Repository Item: Exported on 2022-02-11
Acknowledged KAUST grant number(s): OSR-2016-CRG5-2995
Acknowledgements: This research received funding from KAUST (Award OSR-2016-CRG5-2995). Parallel simulations are performed on KAUST’s Shaheen supercomputer.


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