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用于人工视觉系统的光适应光电忆阻器

Light-Adapted Optoelectronic-Memristive Device for the Artificial Visual System.

作者信息

Su Li, Hu Zijun, Yan Tingting, Zhang Xinglong, Zhang Dawei, Fang Xiaosheng

机构信息

Engineering Research Center of Optical Instrument and System, Ministry of Education and Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology Shanghai 200093, P. R. China.

Department of Materials Science, State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, P. R. China.

出版信息

ACS Appl Mater Interfaces. 2024 Aug 21;16(33):43742-43751. doi: 10.1021/acsami.4c07976. Epub 2024 Aug 8.

DOI:10.1021/acsami.4c07976
PMID:39114944
Abstract

With the development of artificial intelligence systems, it is necessary to develop optoelectronic devices with photoresponse and storage capacity to simulate human visual perception systems. The key to an artificial visual perception system is to integrate components with both sensing and storage capabilities of illumination information. Although module integration components have made useful progress, they still face challenges such as multispectral response and high energy consumption. Here, we developed a light-adapted optoelectronic-memristive device integrated by an organic photodetector and ferroelectric-based memristor to simulate human visual perception. ITO/P3HT:PC71BM/Au as the light sensor unit shows a high on/off ratio (/) reaching ∼5 × 10 at 0 V. The memristor unit, consisting of ITO/CBI@P(VDF-TrFE)/Cu, has a / ratio window of ∼10 under 0.05 V read voltage and ultralow power consumption of ∼1 pW. Moreover, the artificial visual perception unit shows stable light-adapted memory windows under different wavelengths of irradiation light (400, 500, and 600 nm; they meet the spectral range of human visual recognition) and can clearly identify the target image ("T" shape) because of the apparent contrast, which results from the high / ratio values. These results provide a potential design strategy for the development of intelligent artificial vision systems.

摘要

随着人工智能系统的发展,有必要开发具有光响应和存储能力的光电器件,以模拟人类视觉感知系统。人工视觉感知系统的关键在于集成具有光照信息传感和存储能力的组件。尽管模块集成组件已取得有益进展,但它们仍面临多光谱响应和高能耗等挑战。在此,我们开发了一种由有机光电探测器和铁电基忆阻器集成的光适应光电器件-忆阻器,以模拟人类视觉感知。作为光传感器单元的ITO/P3HT:PC71BM/Au在0 V时显示出高达5×10的开/关比(/)。由ITO/CBI@P(VDF-TrFE)/Cu组成的忆阻器单元在0.05 V读取电压下具有10的/比窗口和~1 pW的超低功耗。此外,人工视觉感知单元在不同波长的照射光(400、500和600 nm;它们符合人类视觉识别的光谱范围)下显示出稳定的光适应记忆窗口,并且由于高/比值导致的明显对比度,能够清晰地识别目标图像(“T”形)。这些结果为智能人工视觉系统的开发提供了一种潜在的设计策略。

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