Deep learning based reconstruction of directional coupler geometry from electromagnetic near-field distribution-Reference-Cited by-同舟云学术

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Deep learning based reconstruction of directional coupler geometry from electromagnetic near-field distribution

Published:2020-08-11 Issue:8 Volume:3 Page:2222
ISSN:2578-7519
Container-title:OSA Continuum
language:en
Short-container-title:OSA Continuum

Author:

Coen Tom,Greener Hadar,Mrejen Michael,Wolf Lior,Suchowski Haim

Funder

European Research Council

PAZY Foundation

Publisher

The Optical Society

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference27 articles.

1. Compact Electro-Optic Modulators on a Silicon Chip

2. Integrated lithium niobate electro-optic modulators operating at CMOS-compatible voltages

3. MoS2 photodetectors integrated with photonic circuits

4. Photonic-chip-based frequency combs

5. Coupled-mode theory for guided-wave optics

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1. Modeling the optical properties of transparent and absorbing dielectrics by means of symbolic regression;Optics Express;2022-10-31

2. Deep learning in light–matter interactions;Nanophotonics;2022-06-14

3. Inverse Design for Silicon Photonics: From Iterative Optimization Algorithms to Deep Neural Networks;Applied Sciences;2021-04-23

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