Genetic Deep Learning for Photonic Device Inverse Design

	Genetic Deep Learning for Photonic Device Inverse Design
	Ren, Yangming; Zhang, Lingxuan; Zhang, Wenfu; Sun, Xiaochen
	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
内容类型	会议论文
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.