IF 3.7 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Shuguang Zhu, Zhengyang Zhang, Weiwei Tang, Leijun Xu, Li Han, Jie Hong, Yiming Yu, Ziying Li, Qinghua Qin, Changlong Liu, Libo Zhang, Songyuan Ding, Jiale He, Guanhai Li, Xiaoshuang Chen
{"title":"High-Resolution Optical Convolutional Neural Networks Using Phase-Change Material-Based Microring Hybrid Waveguides","authors":"Shuguang Zhu,&nbsp;Zhengyang Zhang,&nbsp;Weiwei Tang,&nbsp;Leijun Xu,&nbsp;Li Han,&nbsp;Jie Hong,&nbsp;Yiming Yu,&nbsp;Ziying Li,&nbsp;Qinghua Qin,&nbsp;Changlong Liu,&nbsp;Libo Zhang,&nbsp;Songyuan Ding,&nbsp;Jiale He,&nbsp;Guanhai Li,&nbsp;Xiaoshuang Chen","doi":"10.1002/adpr.202470033","DOIUrl":null,"url":null,"abstract":"<p><b>Optical Convolutional Neural Networks</b>\n </p><p>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.\n\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":7263,"journal":{"name":"Advanced Photonics Research","volume":"5 12","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adpr.202470033","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Photonics Research","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/adpr.202470033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

光学卷积神经网络 在编号为 2400108 的文章中,谭维维、何佳乐、李冠海、陈晓双及其合作者提出了一种光学神经网络,该网络利用基于 GST 的微孔波导进行片上计算,可提供 64 级传输对比度和 6 位分辨率。它在图像边缘检测和识别方面实现了高精度,具有大规模光子神经网络的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
2.70%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信