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Simulating and Implementing Broadband van der Waals Artificial Visual Synapses Based on Photoconductivity and
Dan Qiu1, Shuaizhi Zheng1, Pengfei Hou1
1School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China.
This study presents a novel MoS2/WSe2 van der Waals heterojunction for artificial visual synapses. This device mimics human vision, offering broadband detection and low power consumption for advanced neuromorphic computing.
Area of Science:
- Materials Science
- Nanotechnology
- Neuroscience
Background:
- Advancements in artificial neural networks drive demand for neuromorphic synaptic devices.
- Human vision is a critical sensory input, necessitating sophisticated artificial visual systems.
- Existing visual synapses require enhancement for multifunctional applications and broader operational ranges.
Purpose of the Study:
- To develop a multifunctional artificial visual synapse using a novel heterojunction.
- To investigate the cooperative photoconductivity and pyroconductivity mechanisms for synaptic emulation.
- To evaluate the device's performance across a broad spectrum and under various optical stimuli.
Main Methods:
- Fabrication of a MoS2/WSe2 van der Waals heterojunction.
- Utilizing photoconductivity and pyroconductivity for synaptic function emulation.
- Characterizing synaptic properties by adjusting optical power, pulse width, and pulse number.
Main Results:
- The heterojunction successfully simulated artificial visual synaptic properties.
- Broadband detection was achieved from visible to near-infrared spectrum (405-1550 nm) with low power consumption (0.3-1.1 pJ/spike).
- High specific detectivity (D*) up to 3.98 × 1011 Jones was demonstrated, particularly for ultraweak optical signals at 660 nm.
Conclusions:
- The MoS2/WSe2 vdW heterojunction serves as a promising platform for artificial visual synapses.
- The device exhibits excellent broadband spectral response and high sensitivity, suitable for complex visual information processing.
- This work paves the way for integrated sensing and memory processing devices in neuromorphic engineering.
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