Genetic Deep Learning for Photonic Device Inverse Design
文献类型：会议论文
| 作者 | Ren, Yangming; Zhang, Lingxuan; Zhang, Wenfu; Sun, Xiaochen |
| 出版日期 | 2021 |
| 会议日期 | 2021-10-18 |
| 会议地点 | Virtual, Online, Canada |
| 关键词 | Silicon photonics Machine learning Inverse design |
| DOI | 10.1109/IPC48725.2021.9593021 |
| 英文摘要 | 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. |
| 产权排序 | 1 |
| 会议录 | 2021 IEEE Photonics Conference, IPC 2021 - Proceedings
 |
| 会议录出版者 | Institute of Electrical and Electronics Engineers Inc. |
| 语种 | 英语 |
| ISBN号 | 9781665416016 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/95684]  |
| 专题 | 西安光学精密机械研究所_瞬态光学技术国家重点实验室 |
| 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]. 见:. Virtual, Online, Canada. 2021-10-18. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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