Abstract
We show that generative neural networks, combined with topology optimization, are a computationally efficient route to producing high efficiency, topologically-complex metasurfaces across a broad operating parameter space.
© 2019 The Author(s)
PDF ArticleMore Like This
Jiaqi Jiang, David Sell, and Jonathan A. Fan
IW1A.5 Integrated Photonics Research, Silicon and Nanophotonics (IPR) 2019
Timo Gahlmann and Philippe Tassin
NoM3C.4 Novel Optical Materials and Applications (NOMA) 2022
Zhaxylyk A. Kudyshev, Alexander V. Kildishev, Vladimir M. Shalaev, and Alexandra Boltasseva
FTh3C.2 CLEO: QELS_Fundamental Science (CLEO:FS) 2019