首页|Ferroelectric-controlled graphene plasmonic surfaces for all-optical neuromorphic vision

Ferroelectric-controlled graphene plasmonic surfaces for all-optical neuromorphic vision

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Artificial visual systems can recognize desired objects and information from complex environments,and are therefore highly desired for pattern recognition,object detection,and imaging applications.However,state-of-the-art artificial visual systems with high recognition performances that typically consist of electronic devices face the challenges of requiring huge storage space and high power consumption owing to redundant data.Here,we report a terahertz(THz)frequency-selective surface using a graphene split-ring resonator driven by ferroelectric polarization for efficient visual system applications.The downward polarization of the ferroelectric material offers an ultrahigh electrostatic field for doping p-type graphene with an anticipated Fermi level.By optimizing the geometric parameters of the devices and modulating the carrier behaviors of graphene,our plasmonic devices exhibit a tunable spectral response in a range of 1.7-6.0 THz with continuous transmission values.The all-optical neural network using graphene plasmonic surfaces designed in this study exhibited excellent performance in visual pre-processing and convolutional filtering and achieved an ultrahigh recognition accuracy of up to 99.3％in training the Modified National Institute of Standards and Technology(MNIST)handwritten digit dataset.These features demonstrate the great potential of graphene plasmonic devices for future smart artificial vision systems.

graphene plasmonferroelectricfrequency selective surfaceartificial vision system

CHEN JianBo、LIU Yu、LI ShangDong、LIN Lin、LI YaDong、HUANG Wen、GUO JunXiong

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School of Electronic Information and Electrical Engineering,Institute for Advanced Study,Chengdu University Chengdu 610106,China

School of Integrated Circuits,Tsinghua University,Beijing 100084,China

School of Integrated Circuits(National Exemplary School of Microelectronics),University of Electronic Science and Technology of China,Chengdu 610054,China

Jincheng Research Institute of Opto-mechatronics Industry Jincheng 048000,China

Shanxi Key Laboratory of Advanced Semiconductor Optoelectronic Devices and Integrated Systems,Jincheng 048000,China

Engineering Research Center of Digital Imaging and Display,Ministry of Education,Soochow University,Suzhou 215006,China

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国家自然科学基金Engineering Research Center of Digital Imaging and Display,Ministry of Education,Soochow UniversityOpen Project Program of Shanxi Key Laboratory of Advanced Semiconductor Optoelectronic Devices and Integrated Systems

62201096SDGC22462023SZKF12

2024

10.1007/s11431-023-2456-1

中国科学:技术科学(英文版)
中国科学院

中国科学:技术科学(英文版)

CSTPCDEI
影响因子：1.056
ISSN：1674-7321
年,卷(期)：2024.67(3)
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