High‐Resolution Optical Convolutional Neural Networks Using Phase‐Change Material‐Based Microring Hybrid Waveguides

Optical Convolutional Neural Networks In article number 2400108, Weiwei Tan, Jiale He, Guanhai Li, Xiaoshuang Chen, and co-workers propose an optical neural network that leverages GST-based microring waveguides for on-chip computing, offering 64 levels of transmission contrast with 6-bit resolution. It achieves high accuracy in image edge detection and recognition with potential for large-scale photonic neural networks.

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Publication Details

Journal
Advanced Photonics Research
Published
2024-12-01
DOI
https://doi.org/10.1002/adpr.202470033
Citations
1
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
0.21
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High‐Resolution Optical Convolutional Neural Networks Using Phase‐Change Material‐Based Microring Hybrid Waveguides

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Advanced Photonics Research
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article

High‐Resolution Optical Convolutional Neural Networks Using Phase‐Change Material‐Based Microring Hybrid Waveguides

Leijun Xu, Weiwei Tang, Song‐Yuan Ding, Guanhai Li, Qing‐Hua Qin, Shuguang Zhu, Changlong Liu, Yiming Yu, Jie Hong, Ziying Li, Zhengyang Zhang, Xiaoshuang Chen, Libo Zhang, Jiale He, Li Han
article en
1 citations

Abstract

Optical Convolutional Neural Networks In article number 2400108, Weiwei Tan, Jiale He, Guanhai Li, Xiaoshuang Chen, and co-workers propose an optical neural network that leverages GST-based microring waveguides for on-chip computing, offering 64 levels of transmission contrast with 6-bit resolution. It achieves high accuracy in image edge detection and recognition with potential for large-scale photonic neural networks.

Advanced Photonics ResearchVol. 5(12)
Chinese Academy of Sciences (CN), Shanghai Institute of Optics and Fine Mechanics (CN), Shanghai Institute of Technical Physics (CN), Beijing Academy of Quantum Information Sciences (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 45%
Photonic and Optical Devices
0.21
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