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A miniaturized synaptic quantum dot light-emitting diode integrating neuromorphic vision and display

  • Haohong Jiang
  • , Lixiang Chen*
  • , Yuanhong Hu
  • , Tongzhou Wei
  • , Qiaoming Zhang
  • , Yuantao Zeng
  • , Shu-Jen Wang
  • , Furong Zhu
  • , Feng Wang*
  • , Yanlian Lei*
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

15 Downloads (CityUHK Scholars)

Abstract

Artificial vision systems conventionally segregate sensing, memory, processing, and display into discrete modules, incurring latency, energy penalties, and architectural complexity. Here, we report a miniaturized synaptic quantum-dot light-emitting diode that monolithically integrates optical sensing, charge-storage memory, and visible emission. Featuring a dual-spectrum-sensitive hole transport layer responsive to ultraviolet (UV) and near-infrared (NIR) light, the device achieves wavelength-gated synaptic plasticity. UV stimuli generate minute-scale electroluminescent afterimages via deep-level hole trapping, while NIR pulses enable millisecond-scale relaxation. This spectral asymmetry establishes distinct “write” and “develop/erase” pathways, facilitating privacy-preserving imaging without external circuitry. Furthermore, the device exhibits real-time motion trajectory display with 98.8% direction recognition accuracy via neural network validation and hardware-level adaptive noise filtering that suppresses random spikes while preserving correlated signals. By transforming the emissive layer into an on-device processing element, this architecture removes the need for separate sensor, processor, and display components, offering a compact platform for intelligent vision systems operating beyond the visible spectrum. © 2026 Author(s). Published under an exclusive license by AIP Publishing.
Original languageEnglish
Article number031408
Number of pages10
JournalApplied Physics Reviews
Volume13
Issue number3
Online published5 Aug 2026
DOIs
Publication statusPublished - Sept 2026

Funding

This work was financially supported by the Science and Technology Innovation Key R&D Program of Chongqing (Grant No. CSTB2025TIAD-STX0022), the National Natural Science Foundation of China (Grant No. 11904298), and the Venture and Innovation Support Program for Chongqing Overseas Returnees (Grant Nos. cx2024035 and cx2023063). F.W. acknowledges the Research Grants Council of Hong Kong for a Research Fellow Award (Grant No. RFS2021-1S03). H.J. acknowledges the Research and Innovation Project of Graduate Students of Chongqing (Grant No. CYS24132).

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED FINAL PUBLISHED VERSION FILE: This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Haohong Jiang, Lixiang Chen, Yuanhong Hu, Tongzhou Wei, Qiaoming Zhang, Yuantao Zeng, Shu-Jen Wang, Furong Zhu, Feng Wang, Yanlian Lei; A miniaturized synaptic quantum dot light-emitting diode integrating neuromorphic vision and display. Appl. Phys. Rev. 1 September 2026; 13 (3): 031408 and may be found at https://doi.org/10.1063/5.0339133.
  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Haohong Jiang, Lixiang Chen, Yuanhong Hu, Tongzhou Wei, Qiaoming Zhang, Yuantao Zeng, Shu-Jen Wang, Furong Zhu, Feng Wang, Yanlian Lei; A miniaturized synaptic quantum dot light-emitting diode integrating neuromorphic vision and display. Appl. Phys. Rev. 1 September 2026; 13 (3): 031408 and may be found at https://doi.org/10.1063/5.0339133.

RGC Funding Information

  • RGC-funded

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