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作 者:Ze-huan Zheng Sheng-ke Zhu Ying Chen Huanyang Chen Jin-hui Chen
机构地区:[1]Shenzhen Research Institute,Xiamen University,Shenzhen 518000,China [2]Xiamen Power Supply Bureau of Fujian Electric Power Company Limited,State Grid,Xiamen 361004,China [3]College of Information Science and Engineering,Fujian Provincial Key Laboratory of Light Propagation and Transformation,Huaqiao University,Xiamen 361021,China [4]Institute of Electromagnetics and Acoustics,Xiamen University,Xiamen 361005,China [5]College of Physical Science and Technology,Xiamen University,Xiamen 361005,China [6]Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM),Xiamen 361005,China
出 处:《Opto-Electronic Science》2022年第11期21-35,F0004,共16页光电科学(英文)
基 金:supported by the National Natural Science Foundation of China(Grants No.62005231);Fundamental Research Funds for the Central Universities(20720210045,20720200074);Guangdong Basic and Applied Basic Research Foundation(2021A1515012199).
摘 要: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 TE_(1)-TE_(4) by Tikhonov regularization optimization.Empowered by deep learning algorithms,the 15-nm resolution of parallel reconstruction for TE_(1)-TE_(4) is achieved by a single-shot measurement.Moreover,by stacking the multimode response in TE_(1)-TE_(4) 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.
关 键 词:computational spectroscopy 2D-material photodetectors mode-division demultiplexing deep learning silicon photonics
分 类 号:TN36[电子电信—物理电子学] TP18[自动化与计算机技术—控制理论与控制工程]
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