@inproceedings{f9add5aa89a84aea93b6535b3d4c335e,
title = "Highly-efficient flat-optics inverse design platform via fast trained neural predictors",
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%.",
author = "Maksim Makarenko and A. Burguete-Lopez and Fedor Getman and Andrea Fratalocchi",
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{\textquoteright}s Shaheen supercomputer.",
year = "2021",
month = nov,
day = "19",
doi = "10.1117/12.2603689",
language = "English (US)",
isbn = "9781510650305",
booktitle = "International Optical Design Conference 2021",
publisher = "SPIE",
}