Deep learning in photonics: introduction
Author:
Publisher
The Optical Society
Subject
Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
Reference28 articles.
1. On-demand design of spectrally sensitive multiband absorbers using an artificial neural network
2. Accurate inverse design of Fabry–Perot-cavity-based color filters far beyond sRGB via a bidirectional artificial neural network
3. Realizing transmitted metasurface cloak by a tandem neural network
4. Intelligent coding metasurface holograms by physics-assisted unsupervised generative adversarial network
5. Genetic-algorithm-based deep neural networks for highly efficient photonic device design
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