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Colloidal Quantum-Dot Heterojunctions for Multimodal VIS–NIR–SWIR Imaging and Computational Spectroscopy

  • Ya Wang
  • , Faxin Wang
  • , Xi Ran
  • , Zaiming Du
  • , Mingyang Yin
  • , Hanyu Zhang
  • , Xingchen Zhang
  • , Jing Liu
  • , Haifeng Yao
  • , Jie Cao
  • , Xinzheng Lan
  • , Xin Tang
  • , Huicheng Hu*
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • Huazhong University of Science and Technology
  • Minzu University of China

Research output: Contribution to journal › Article › peer-review

Abstract

Spectral-selective photodetection across the visible to short-wave infrared (VIS–SWIR) range is highly desirable for advanced imaging and sensing applications. Here, we report a bias-switchable colloidal quantum-dot (CQD) n–p–n photodetector based on vertically stacked PbS and PbSe CQD heterojunctions with oppositely oriented built-in electric fields. This architecture allows electric-field redistribution under external bias, enabling controllable carrier transport and wavelength-dependent response. A ZnTe interlayer is introduced to suppress dark current and enhance bias-polarity-dependent spectral selectivity. By reversing the bias polarity, the device electrically switches between VIS + near-infrared (NIR) and NIR + SWIR detection modes within a single pixel. The photodetector exhibits low dark current densities and high detectivities of 4.3 × 1011, 2.6 × 1011, and 1.6 × 1011 Jones at 600, 1000, and 1550 nm, respectively. Integration with a silicon thin-film transistor readout circuit enables multimodal VIS–NIR–SWIR imaging, and multilayer perceptron–assisted learning further enables high-quality spectral reconstruction. These results highlight the potential of this CQD n–p–n architecture for multispectral imaging and compact computational spectrometer applications.

Original languageEnglish
Pages (from-to)5272-5281
Number of pages10
JournalACS Photonics
Volume13
Issue number17
DOIs
Publication statusPublished - 2 Sept 2026

Keywords

  • colloidal quantum dots
  • multimodal imaging
  • n–p–nphotodetectors
  • spectral reconstruction
  • ZnTe

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