Broadband achromatic metalens design based on artificial neural network
文献类型：会议论文
| 作者 | Wang, Feilou2; Geng, Guangzhou3; Wang, Xueqian4; Li, Junjie3; Bai, Yang4; Li, Jianqiang5; Wen, Yongzheng2; Li, Bo1; Sun, Jingbo2; Zhou, Ji2 |
| 出版日期 | 1905-07-14 |
| 会议日期 | May 15, 2022 - May 20, 2022 |
| 英文摘要 | We used the backpropagation neural network to design a high performance achromatic metalens at visible range. Experimental demonstration showed that the fabricated achromatic metalens can operate from 420 to 640 nm without the polarization dependence. 漏 Optica Publishing Group 2022, 漏 2022 The Author(s) |
| 会议录 | 2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings
 ; 2022 Conference on Lasers and Electro-Optics, CLEO 2022
|
| 会议录出版者 | Institute of Electrical and Electronics Engineers Inc. |
| 学科主题 | Neural Networks |
| 源URL | [http://ir.ipe.ac.cn/handle/122111/59642]  |
| 作者单位 | 1.Tsinghua Shenzhen International Graduate School, Shenzhen; 518055, China 2.State Key Laboratory of New Ceramics and Fine Processing, School of Materials Science and Engineering, Tsinghua University, Beijing; 100084, China 3.Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing; 100190, China 4.Beijing Advanced Innovation Center for Materials Genome Engineering, Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing; 100083, China 5.CAS Key Laboratory of Green Process and Engineering, National Engineering Laboratory for Hydrometallurgical Cleaner Production Technology, Institute of Process Engineering, Chinese Academy of Sciences, Beijing; 100190, China |
| 推荐引用方式 GB/T 7714 | Wang, Feilou,Geng, Guangzhou,Wang, Xueqian,et al. Broadband achromatic metalens design based on artificial neural network[C]. 见:. May 15, 2022 - May 20, 2022. |
入库方式： OAI收割
来源：过程工程研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。