Photonics Research, Volume. 11, Issue 10, 1667(2023)

Light-stimulated low-power artificial synapse based on a single GaN nanowire for neuromorphic computing Editors' Pick

Min Zhou1,2、†, Yukun Zhao1,2,4、†,*, Xiushuo Gu1, Qianyi Zhang1, Jianya Zhang3, Min Jiang1,2, and Shulong Lu1,2,5、*
Author Affiliations
  • 1Key Laboratory of Nanodevices and Applications, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou 215123, China
  • 2School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, Hefei 230026, China
  • 3Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy Application, School of Physical Science and Technology, Suzhou University of Science and Technology, Suzhou 215009, China
  • 4e-mail: ykzhao2017@sinano.ac.cn
  • 5e-mail: sllu2008@sinano.ac.cn
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    References(63)

    [60] P. Y. Chen, X. Peng, S. Yu. NeuroSim +: an integrated device-to-algorithm framework for benchmarking synaptic devices and array architectures. 63rd IEEE Annual International Electron Devices Meeting (IEDM), 6.1.1-6.1.4(2017).

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    Min Zhou, Yukun Zhao, Xiushuo Gu, Qianyi Zhang, Jianya Zhang, Min Jiang, Shulong Lu. Light-stimulated low-power artificial synapse based on a single GaN nanowire for neuromorphic computing[J]. Photonics Research, 2023, 11(10): 1667

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    Paper Information

    Category: Optoelectronics

    Received: Mar. 10, 2023

    Accepted: Jul. 30, 2023

    Published Online: Sep. 27, 2023

    The Author Email: Yukun Zhao (ykzhao2017@sinano.ac.cn), Shulong Lu (sllu2008@sinano.ac.cn)

    DOI:10.1364/PRJ.487936

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