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Published on: June 23, 2018
Solution-Processed Multi-Junction Optoelectronic Synapses for Mode-Switchable SWIR Neuromorphic Vision Sensing
Zhuoyang He1, Dae Yang Oh2, Yi Ji1
1Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China.
Abstract:
Shortwave infrared (SWIR) optoelectronics are the main pillars for machine vision and perception. However, conventional photodetectors and neuromorphic sensors with complementary characteristics are more challenging to integrate into a single device architecture in the SWIR band. Herein, a bias-programmable back-to-back rectifying junction is designed to switch between high-speed photodetector and persistent optoelectronic synapse modes. Numerical models demonstrate how bias tunes the relative barrier heights of the multi-junction stack, thereby modulating the carrier dynamics and triggering transitions among different operation modes. This concept is experimentally implemented using IR-absorbing colloidal lead sulfide (PbS) quantum dots (QDs) assembled into anti-series p-n and Schottky junctions. For 1550 nm operation, cascaded p-n QD homojunctions effectively improve photodetector performance while strengthening the synaptic plasticity of photocurrent. The programmable device states enable image denoising and motion trajectory tracking. Notably, a unique synapse regime is identified to suppress static IR background and enhance the signal-to-noise ratio (SNR) of dynamic events, achieving static-dynamic fusion in SWIR vision. This solution-processable and voltage-controlled multi-junction design provides a scalable route toward spatiotemporal SWIR vision sensing systems.
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