Ultra-low loss SOI waveguide crossings designed by a hybrid global optimization based on deep learning-Reference-Cited by-同舟云学术

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Ultra-low loss SOI waveguide crossings designed by a hybrid global optimization based on deep learning

Published:2024-04 Issue: Volume:556 Page:130189
ISSN:0030-4018
Container-title:Optics Communications
language:en
Short-container-title:Optics Communications

Author:

Lu Wang,Shi Hao,Ma Chuanqi,Li Zhenjiang,Zhu Shijie,Wu Yanqing,Tai Renzhong

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

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

Reference30 articles.

1. Inverse design of ultra-compact multimode waveguide bends based on the free-form curves;Sun;Laser Photonics Rev.,2021

2. Review article mid-infrared integrated photonics on silicon : A perspective;Lin;Nanophotonics,2018

3. Silicon nanostructures for photonics and photovoltaics;Priolo;Nat. Publish. Group,2014

4. Deep neural network inverse design of integrated photonic power splitters;Tahersima;Sci. Rep.,2019

5. State-of-the-art and perspectives on silicon waveguide crossings: A review;Wu;Micromachines,2020

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