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长春光机所光电突触器件研究取得新进展
Huan Qiu Wang Zi Xun· 2025-05-10 09:18
Core Insights - The research team at Changchun Institute of Optics, Fine Mechanics and Physics has developed a novel ultraviolet optoelectronic synaptic device and an optoelectronic synaptic transistor, providing new technological pathways for advanced artificial vision systems and neuromorphic computing vision [1][2] Group 1: Ultraviolet Optoelectronic Synaptic Device - The ultraviolet optoelectronic synaptic device utilizes the ferroelectric polarization characteristics of AlScN and the excellent optoelectronic properties of GaN, successfully constructed based on the trapping and detrapping mechanism of holes at the heterojunction [1] - This device exhibits outstanding non-volatile storage characteristics and can simulate synaptic functions in biological visual systems, enabling multi-state modulation such as long-term potentiation (LTP), paired-pulse facilitation (PPF), and learning-forgetting-relearning processes [1][2] Group 2: Optoelectronic Synaptic Transistor - The optoelectronic synaptic transistor achieves wide-spectrum high optoelectronic conversion efficiency and long data retention capability from ultraviolet to near-infrared through a gas adsorption-assisted persistent photoconductivity strategy [1][2] - It demonstrates excellent photodetection performance across a broad spectrum from 375nm to 1310nm, with a paired-pulse facilitation index reaching 158%, significantly enhancing the precision and efficiency of neural networks in processing visual information [2] Group 3: Implications for Computing and Vision Systems - The development of these devices provides efficient and biomimetic solutions for hardware implementation of multispectral neuromorphic vision systems, simulating the perception and recognition functions of human retinal cells for multispectral signals [2] - Neuromorphic vision systems, which mimic the structure of neurons and synapses in the human brain, can process multiple streams of information simultaneously, significantly reducing power consumption and improving data processing speed compared to traditional serial processing visual systems [2]