Genetic-algorithm-based deep neural networks for highly efficient photonic device design | |
Ren, Yangming1,2; Zhang, Linxuan1,2; Wang, Weiqiang1,2; Wang, Xinyu1,2; Lei, Yufang1,2; Xue, Yulong1,2; Sun, Xiaochen1,2; Zhang, Wenfu1,2 | |
刊名 | Photonics Research |
2021-06-01 | |
卷号 | 9期号:6页码:B247-B252 |
ISSN号 | 23279125 |
DOI | 10.1364/PRJ.416294 |
产权排序 | 1 |
英文摘要 | While deep learning has demonstrated tremendous potential for photonic device design, it often demands a large amount of labeled data to train these deep neural network models. Preparing these data requires high-resolution numerical simulations or experimental measurements and cost significant, if not prohibitive, time and resources. In this work, we present a highly efficient inverse design method that combines deep neural networks with a genetic algorithm to optimize the geometry of photonic devices in the polar coordinate system. The method requires significantly less training data compared with previous inverse design methods. We implement this method to design several ultra-compact silicon photonics devices with challenging properties including power splitters with uncommon splitting ratios, a TE mode converter, and a broadband power splitter. These devices are free of the features beyond the capability of photolithography and generally in compliance with silicon photonics fabrication design rules. © 2021 Chinese Laser Press |
语种 | 英语 |
出版者 | The Optical Society |
WOS记录号 | WOS:000658338800001 |
内容类型 | 期刊论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/94867] |
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 |
通讯作者 | Sun, Xiaochen; Zhang, Wenfu |
作者单位 | 1.University of Chinese Academy of Sciences, Beijing; 100049, China 2.State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; |
推荐引用方式 GB/T 7714 | Ren, Yangming,Zhang, Linxuan,Wang, Weiqiang,et al. Genetic-algorithm-based deep neural networks for highly efficient photonic device design[J]. Photonics Research,2021,9(6):B247-B252. |
APA | Ren, Yangming.,Zhang, Linxuan.,Wang, Weiqiang.,Wang, Xinyu.,Lei, Yufang.,...&Zhang, Wenfu.(2021).Genetic-algorithm-based deep neural networks for highly efficient photonic device design.Photonics Research,9(6),B247-B252. |
MLA | Ren, Yangming,et al."Genetic-algorithm-based deep neural networks for highly efficient photonic device design".Photonics Research 9.6(2021):B247-B252. |
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