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Single-pixel p-graded-n junction spectrometers

Author

Listed:
  • Jingyi Wang

    (ShanghaiTech University
    Shanghai Engineering Research Center of Energy Efficient and Custom AI IC)

  • Beibei Pan

    (ShanghaiTech University
    Shanghai Engineering Research Center of Energy Efficient and Custom AI IC)

  • Zi Wang

    (ShanghaiTech University
    Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Jiakai Zhang

    (ShanghaiTech University)

  • Zhiqi Zhou

    (ShanghaiTech University
    Shanghai Engineering Research Center of Energy Efficient and Custom AI IC)

  • Lu Yao

    (ShanghaiTech University
    Shanghai Engineering Research Center of Energy Efficient and Custom AI IC)

  • Yanan Wu

    (ShanghaiTech University)

  • Wuwei Ren

    (ShanghaiTech University)

  • Jianyu Wang

    (ShanghaiTech University
    Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Haiming Ji

    (University of Chinese Academy of Sciences)

  • Jingyi Yu

    (ShanghaiTech University)

  • Baile Chen

    (ShanghaiTech University
    Shanghai Engineering Research Center of Energy Efficient and Custom AI IC)

Abstract

Ultra-compact spectrometers are becoming increasingly popular for their promising applications in biomedical analysis, environmental monitoring, and food safety. In this work, we report a single-pixel-photodetector spectrometer with a spectral range from 480 nm to 820 nm, based on the AlGaAs/GaAs p-graded-n junction with a voltage-tunable optical response. To reconstruct the optical spectrum, we propose a tailored method called Neural Spectral Fields (NSF) that leverages the unique wavelength and bias-dependent responsivity matrix. Our spectrometer achieves a high spectral wavelength accuracy of up to 0.30 nm and a spectral resolution of up to 10 nm. Additionally, we demonstrate the high spectral imaging performance of the device. The compatibility of our demonstration with the standard III-V process greatly accelerates the commercialization of miniaturized spectrometers.

Suggested Citation

  • Jingyi Wang & Beibei Pan & Zi Wang & Jiakai Zhang & Zhiqi Zhou & Lu Yao & Yanan Wu & Wuwei Ren & Jianyu Wang & Haiming Ji & Jingyi Yu & Baile Chen, 2024. "Single-pixel p-graded-n junction spectrometers," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46066-5
    DOI: 10.1038/s41467-024-46066-5
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    References listed on IDEAS

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    1. Wenjie Deng & Zilong Zheng & Jingzhen Li & Rongkun Zhou & Xiaoqing Chen & Dehui Zhang & Yue Lu & Chongwu Wang & Congya You & Songyu Li & Ling Sun & Yi Wu & Xuhong Li & Boxing An & Zheng Liu & Qi jie W, 2022. "Electrically tunable two-dimensional heterojunctions for miniaturized near-infrared spectrometers," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. S. N. Zheng & J. Zou & H. Cai & J. F. Song & L. K. Chin & P. Y. Liu & Z. P. Lin & D. L. Kwong & A. Q. Liu, 2019. "Microring resonator-assisted Fourier transform spectrometer with enhanced resolution and large bandwidth in single chip solution," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    3. Zhu Wang & Soongyu Yi & Ang Chen & Ming Zhou & Ting Shan Luk & Anthony James & John Nogan & Willard Ross & Graham Joe & Alireza Shahsafi & Ken Xingze Wang & Mikhail A. Kats & Zongfu Yu, 2019. "Single-shot on-chip spectral sensors based on photonic crystal slabs," Nature Communications, Nature, vol. 10(1), pages 1-6, December.
    4. Jie Bao & Moungi G. Bawendi, 2015. "A colloidal quantum dot spectrometer," Nature, Nature, vol. 523(7558), pages 67-70, July.
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