Genetic Deep Learning for Photonic Device Inverse Design | |
Ren, Yangming; Zhang, Lingxuan; Zhang, Wenfu; Sun, Xiaochen | |
2021 | |
会议名称 | 2021 IEEE Photonics Conference, IPC 2021 |
会议录名称 | 2021 IEEE Photonics Conference, IPC 2021 - Proceedings |
会议日期 | 2021-10-18 |
会议地点 | Virtual, Online, Canada |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
产权排序 | 1 |
摘要 | We demonstrate an inverse design method by combining deep neural networks and genetic optimization. The method significantly reduces the training data compared with existing methods. The method is adopted to design some ultra-compact photonic devices to show its high computing efficiency and great flexibility. © 2021 IEEE. |
关键词 | Silicon photonics Machine learning Inverse design |
作者部门 | 瞬态光学研究室 |
DOI | 10.1109/IPC48725.2021.9593021 |
收录类别 | EI ; CPCI |
ISBN号 | 9781665416016 |
语种 | 英语 |
ISSN号 | 2374-0140 |
WOS记录号 | WOS:000866488100179 |
EI入藏号 | 20220411504435 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/95684 |
专题 | 瞬态光学研究室 |
作者单位 | Xi'an Institute Of Optics And Precision Mechanics, State Key Laboratory Of Transient Optics And Photonics, Xi'an, China |
推荐引用方式 GB/T 7714 | Ren, Yangming,Zhang, Lingxuan,Zhang, Wenfu,et al. Genetic Deep Learning for Photonic Device Inverse Design[C]:Institute of Electrical and Electronics Engineers Inc.,2021. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Genetic Deep Learnin(644KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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