Advancing Silicon Photonics Through Machine Learning: From Device Design to Fabrication-Reference-Cited by-同舟云学术

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Advancing Silicon Photonics Through Machine Learning: From Device Design to Fabrication

Published:2024-07-08 Issue: Volume: Page:460-463
ISSN:
Container-title:2024 IEEE 24th International Conference on Nanotechnology (NANO)
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Author:

Xu Dan-Xia¹,Gostimirovic Dusan²,Grinberg Yuri³,Liboiron-Ladouceur Odile²

Affiliation:

1. Quantum and Nanotechnologies Research Center, National Research Council Canada,Ottawa,Canada

2. McGill University,Department of Electrical and Computer Engineering,Montreal,Canada

3. Digital Technologies Research Centre, National Research Council Canada,Ottawa,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10628446/10628545/10628655.pdf?arnumber=10628655

Reference12 articles.

1. Nanophotonics: Shrinking light-based technology

2. Roadmap on silicon photonics

3. Inverse design in nanophotonics

4. Mapping the global design space of nanophotonic components using machine learning pattern recognition

5. Fabrication error tolerant broadband mode converters and their working principles

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