Year
Month
(Peer-Reviewed) Towards integrated mode-division demultiplexing spectrometer by deep learning
Ze-huan Zheng 郑泽寰 ¹ ², Sheng-ke Zhu 朱圣科 ¹ ⁴, Ying Chen 陈颖 ³, Huanyang Chen 陈焕阳 ⁵, Jin-hui Chen 陈锦辉 ¹ ⁴ ⁶
¹ Shenzhen Research Institute, Xiamen University, Shenzhen 518000, China
中国 深圳 厦门大学深圳研究院
² Xiamen Power Supply Bureau of Fujian Electric Power Company Limited, State Grid, Xiamen 361004, China
中国 厦门 福建省电力有限公司 厦门供电局
³ College of Information Science and Engineering, Fujian Provincial Key Laboratory of Light Propagation and Transformation, Huaqiao University, Xiamen 361021, China
福建省光传输与变换重点实验室 华侨大学信息科学与工程学院
⁴ Institute of Electromagnetics and Acoustics, Xiamen University, Xiamen 361005, China
中国 厦门 厦门大学电磁声学研究院
⁵ College of Physical Science and Technology, Xiamen University, Xiamen 361005, China
中国 厦门 厦门大学物理科学与技术学院
⁶ Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen 361005, China
中国 厦门 中国福建能源材料科学与技术创新实验室(嘉庚创新实验室)
Opto-Electronic Science, 2022-11-01
Abstract

Miniaturized spectrometers have been widely researched in recent years, but few studies are conducted with on-chip multimode schemes for mode-division multiplexing (MDM) systems. Here we propose an ultracompact mode-division demultiplexing spectrometer that includes branched waveguide structures and graphene-based photodetectors, which realizes simultaneously spectral dispersing and light fields detecting.

In the bandwidth of 1500–1600 nm, the designed spectrometer achieves the single-mode spectral resolution of 7 nm for each mode of TE1–TE4 by Tikhonov regularization optimization. Empowered by deep learning algorithms, the 15-nm resolution of parallel reconstruction for TE1–TE4 is achieved by a single-shot measurement. Moreover, by stacking the multimode response in TE1–TE4 to the single spectra, the 3-nm spectral resolution is realized.

This design reveals an effective solution for on-chip MDM spectroscopy, and may find applications in multimode sensing, interconnecting and processing.
Towards integrated mode-division demultiplexing spectrometer by deep learning_1
Towards integrated mode-division demultiplexing spectrometer by deep learning_2
Towards integrated mode-division demultiplexing spectrometer by deep learning_3
  • Ppt-level volatile organic compounds detection via microsecond-pulse-enhanced mid-infrared photoacoustic
  • Senyu Wang, Liang Zhao, Hongyu Luo, Xiangyu Zhao, Jianfeng Li, Wei Wang, Hao Lei, Mingrui Jiang, Jinlong Wan, Binxing Zhao, Bincheng Li, Yong Liu
  • Opto-Electronic Science
  • 2026-04-23
  • Polarization-guided diffusion prior for eyeglass reflection removal
  • Yating Chen, Liangcai Cao
  • Opto-Electronic Advances
  • 2026-04-17
  • AI-assisted metaphotonics
  • Minsung Kang, Seokju Choi, Kaixi Fu, Xiaoyuan Liu, Zhun Wei, Lei Jin, Hao Wang, Olivier J. F. Martin, Joel K. W. Yang, Sunae So, Trevon Badloe
  • Opto-Electronic Advances
  • 2026-04-17
  • Terahertz imaging technology: progress and applications
  • Yuyuan Tian, Xiaoyin Chen, Zhuocheng Zhang, Qianze Yan, Yiming Liu, Chengliang Deng, Min Wan, Jiang Li, Xiaoqiuyan Zhang, Lu Rong, Elizaveta Tsiplakova, Nikolay Petrov, Xinke Wang, Liguo Zhu, Min Hu, Yan Zhang
  • Opto-Electronic Technology
  • 2026-03-30
  • Interpretable low-dose CT enhancement via multi-Gaussian cluster variance reduction
  • Xiaofeng Zhang, Yilan Zhu, Yongsheng Huang, Jielong Yang, Zhili Wang, Kai Zhang, Si Chen, Linbo Liu, Xin Ge
  • Opto-Electronic Science
  • 2026-03-25
  • Polygonal generalized perfect spatiotemporal optical vortices
  • Shuoshuo Zhang, Zhangyu Zhou, Qianyi Wei, Zhongsheng Man, Changjun Min, Wending Zhang, Yuquan Zhang, Ting Mei, Xiaocong Yuan
  • Opto-Electronic Science
  • 2026-03-25
  • Perovskite nanocrystals in glass for high efficiency and ultra-high resolution dynamic holographic multicolor display
  • Chao Ruan, Xinkuo Li, Ke Sun, Jianrong Qiu, Dezhi Tan
  • Opto-Electronic Advances
  • 2026-03-25
  • Pixelated BIC metasurfaces for terahertz integrated sensing and imaging
  • Zhanqiang Xue, Guizhen Xu, Junliang Chen, Junxing Fan, Hongyang Xing, Ye Zhou, Longqing Cong
  • Opto-Electronic Advances
  • 2026-03-25
  • Overcoming challenges in InP-based quantum dots: from nucleation mechanisms to high-performance quantum dot light-emitting diodes
  • Yangyang Bian, Qian Li, Fei Chen, Chunhe Yang, Huaibin Shen, Aiwei Tang
  • Opto-Electronic Advances
  • 2026-03-25
  • Emerging landscape of photonic bound states in the continuum for next-generation metadevices
  • Thi Thu Ha Do, Ronghui Lin, Daniil A. Shilkin, Zhiyi Yuan, Cuong Dang, Arseniy I. Kuznetsov, Jinghua Teng, Son Tung Ha
  • Opto-Electronic Advances
  • 2026-03-25
  • A 4096-element 3D-integrated Si-SiN optical phased array for high-power coherent LiDAR
  • Han Wang, Weimin Xie, Xin Yan, Jiaqi Li, Youxi Lu, Ping Jiang, Feng Li, Kai Jin, Xu Yang, Jiali Jiang, Keran Deng, Weishuai Chen, Jing Luo, Li Jin, Junbo Feng, Kai Wei
  • Opto-Electronic Technology
  • 2026-03-20



  • Brillouin scattering spectrum for liquid detection and applications in oceanography                                Crosstalk-free achromatic full Stokes imaging polarimetry metasurface enabled by polarization-dependent phase optimization
    About
    |
    Contact
    |
    Copyright © PubCard