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High-Contrast Bidirectional Optoelectronic Synapses based on 2D Molecular Crystal Heterojunctions for Motion Detection. | LitMetric

High-Contrast Bidirectional Optoelectronic Synapses based on 2D Molecular Crystal Heterojunctions for Motion Detection.

Adv Mater

National and Local United Engineering Lab of Flat Panel Display Technology, Institute of Optoelectronic Display, Fuzhou University, Fuzhou, 350108, P. R. China.

Published: June 2023

AI Article Synopsis

  • Researchers have developed a bilayer 2D molecular crystal (2DMC) heterojunction to enhance bidirectional synaptic behaviors in optoelectronic devices used for neuromorphic vision systems.
  • The device demonstrates ambipolar properties and high responsivity to weak light, successfully enabling excitatory and inhibitory synaptic behaviors through varying gate voltages.
  • Additionally, this technology shows promising applications in motion detection, achieving over 90% accuracy in recognizing vehicles, which could advance intelligent bionic devices and future artificial vision systems.

Article Abstract

Light-stimulated optoelectronic synaptic devices are fundamental compositions of the neuromorphic vision system. However, there are still huge challenges to achieving both bidirectional synaptic behaviors under light stimuli and high performance. Herein, a bilayer 2D molecular crystal (2DMC) p-n heterojunction is developed to achieve high-performance bidirectional synaptic behaviors. The 2DMC heterojunction-based field effect transistor (FET) devices exhibit typical ambipolar properties and remarkable responsivity (R) of 3.58×10 A W under weak light as low as 0.008 mW cm . Excitatory and inhibitory synaptic behaviors are successfully realized by the same light stimuli under different gate voltages. Moreover, a superior contrast ratio (CR) of 1.53×10 is demonstrated by the ultrathin and high-quality 2DMC heterojunction, which transcends previous optoelectronic synapses and enables application for the motion detection of the pendulum. Furthermore, a motion detection network based on the device is developed to detect and recognize classic motion vehicles in road traffic with an accuracy exceeding 90%. This work provides an effective strategy for developing high-contrast bidirectional optoelectronic synapses and shows great potential in the intelligent bionic device and future artificial vision.

Download full-text PDF

Source
http://dx.doi.org/10.1002/adma.202301468DOI Listing

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