DOI: 10.1063/5.0339133 ISSN: 1931-9401

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

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.

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