ACS Publications. Most Trusted. Most Cited. Most Read
My Activity
CONTENT TYPES

Figure 1Loading Img
RETURN TO ISSUEPREVFunctional Nanostruc...Functional Nanostructured Materials (including low-D carbon)NEXT

Spectrum Reconstruction with Filter-Free Photodetectors Based on Graded-Band-Gap Perovskite Quantum Dot Heterojunctions

  • Xiao-Lin Wang
    Xiao-Lin Wang
    State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China
  • Yantao Chen
    Yantao Chen
    State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China
    More by Yantao Chen
  • Yingli Chu
    Yingli Chu
    State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China
    More by Yingli Chu
  • Wen-Jun Liu
    Wen-Jun Liu
    State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China
    More by Wen-Jun Liu
  • David Wei Zhang
    David Wei Zhang
    State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China
    Zhangjiang Fudan International Innovation Center, Shanghai 201203, China
    National Integrated Circuit Innovation Center, Shanghai 201203, China
  • Shi-Jin Ding
    Shi-Jin Ding
    State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China
    National Integrated Circuit Innovation Center, Shanghai 201203, China
    More by Shi-Jin Ding
  • , and 
  • Xiaohan Wu*
    Xiaohan Wu
    State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China
    Zhangjiang Fudan International Innovation Center, Shanghai 201203, China
    *Email: [email protected]
    More by Xiaohan Wu
Cite this: ACS Appl. Mater. Interfaces 2022, 14, 12, 14455–14465
Publication Date (Web):March 21, 2022
https://doi.org/10.1021/acsami.1c24962
Copyright © 2022 American Chemical Society

    Article Views

    1518

    Altmetric

    -

    Citations

    LEARN ABOUT THESE METRICS
    Other access options
    Supporting Info (1)»

    Abstract

    Abstract Image

    Spectrum reconstruction with filter-free microspectrometers has attracted much attention owing to their promising potential in in situ analysis systems, on-chip spectroscopy characterizations, hyperspectral imaging, etc. Further efforts in this field can be devoted to improving the performance of microspectrometers by employing high-performance photosensitive materials and optimizing the reconstruction algorithms. In this work, we demonstrate spectrum reconstruction with a set of photodetectors based on graded-band-gap perovskite quantum dot (PQD) heterojunctions using both calculation and machine learning algorithms. The photodetectors exhibit good photosensitivities with nonlinear current–voltage curves, and the devices with different PQD band gaps show various spectral responsivities with different cutoff wavelength edges covering the entire visible range. Reconstruction performances of monochromatic spectra with the set of PQD photodetectors using two different algorithms are compared, and the machine learning method achieves relatively better accuracy. Moreover, the nonlinear current–voltage variation of the photodetectors can provide increased data diversity without redundancy, thus further improving the accuracy of the reconstructed spectra for the machine learning algorithm. A spectral resolution of 10 nm and reconstruction of multipeak spectra are also demonstrated with the filter-free photodetectors. Therefore, this study provides PQD photodetectors with the corresponding optimized algorithms for emerging flexible microspectrometer systems.

    Read this article

    To access this article, please review the available access options below.

    Get instant access

    Purchase Access

    Read this article for 48 hours. Check out below using your ACS ID or as a guest.

    Recommended

    Access through Your Institution

    You may have access to this article through your institution.

    Your institution does not have access to this content. You can change your affiliated institution below.

    Supporting Information

    ARTICLE SECTIONS
    Jump To

    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsami.1c24962.

    • Optical band gap of the set of PQDs and the linear relationships between band gaps and halide ratios, table of halide ratios and optical band gaps for the PQDs, photosensing characteristics of the pure C8-BTBT device, photoswitching stability of the devices, dark currents and noise signal of the devices, Ilight/Idark–λ curve of the devices, workflow of the calculation method, comparison between measured and reconstructed spectral curves by the calculation method and machine learning arithmetic, errors of the peak position and FWHM between measured and reconstructed spectra by the calculation method and machine learning arithmetic, assessment method and results of data redundancy with the PCA method, and representative training database of the machine learning algorithm (PDF)

    Terms & Conditions

    Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses). Permission may be obtained from ACS for other uses through requests via the RightsLink permission system: http://pubs.acs.org/page/copyright/permissions.html.

    Cited By

    This article is cited by 5 publications.

    1. Jiahui Teng, Yantao Chen, Chunming Huang, Ming Yang, Bao Zhu, Wen-Jun Liu, Shi-Jin Ding, Xiaohan Wu. Graded-Band-Gap Zinc–Tin Oxide Thin-Film Transistors with a Vertically Stacked Structure for Wavelength-Selective Photodetection. ACS Applied Materials & Interfaces 2024, 16 (7) , 9060-9067. https://doi.org/10.1021/acsami.3c18737
    2. Chunming Huang, Yantao Chen, Xiao-Lin Wang, Bao Zhu, Wen-Jun Liu, Shi-Jin Ding, Xiaohan Wu. Flexible Microspectrometers Based on Printed Perovskite Pixels with Graded Bandgaps. ACS Applied Materials & Interfaces 2023, 15 (5) , 7129-7136. https://doi.org/10.1021/acsami.2c20752
    3. Yue Fu, Meng Yuan, Yingjie Zhao, Meiqiu Dong, Yangwu Guo, Kui Wang, Chunqi Jin, Jiangang Feng, Yuchen Wu, Lei Jiang. Gradient Bandgap‐Tunable Perovskite Microwire Arrays toward Flexible Color‐Cognitive Devices. Advanced Functional Materials 2023, 33 (11) , 2214094. https://doi.org/10.1002/adfm.202214094
    4. Ben Yang, Pu Guo, Dandan Hao, Yan Wang, Li Li, Shilei Dai, Jia Huang. Self-powered photodetectors based on CsPbBr3 quantum dots/organic semiconductors/SnO2 heterojunction for weak light detection. Science China Materials 2023, 66 (2) , 716-723. https://doi.org/10.1007/s40843-022-2155-0
    5. Qingquan Liu, Zhiyi Xuan, Zi Wang, Xinchao Zhao, Zhiqin Yin, Chenlu Li, Gang Chen, Shaowei Wang, Wei Lu. Low-cost micro-spectrometer based on a nano-imprint and spectral-feature reconstruction algorithm. Optics Letters 2022, 47 (11) , 2923. https://doi.org/10.1364/OL.458469

    Pair your accounts.

    Export articles to Mendeley

    Get article recommendations from ACS based on references in your Mendeley library.

    Pair your accounts.

    Export articles to Mendeley

    Get article recommendations from ACS based on references in your Mendeley library.

    You’ve supercharged your research process with ACS and Mendeley!

    STEP 1:
    Click to create an ACS ID

    Please note: If you switch to a different device, you may be asked to login again with only your ACS ID.

    Please note: If you switch to a different device, you may be asked to login again with only your ACS ID.

    Please note: If you switch to a different device, you may be asked to login again with only your ACS ID.

    MENDELEY PAIRING EXPIRED
    Your Mendeley pairing has expired. Please reconnect