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Brain-like synaptic memristor based on lithium-doped silicate for neuromorphic computing

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Abstract

Artificial synapse is one of the potential electronics for constructing neural network hardware. In this work, Pt/LiSiOx/TiN analog artificial synapse memristor is designed and investigated. With the increase of compliance current (C. C.) under 0.6 mA, 1 mA, and 3 mA, the current in the high resistance state (HRS) presents an increasing variation, which indicates lithium ions participates in the operation process for Pt/LiSiOx/TiN memristor. Moreover, depending on the movement of lithium ions in the functional layer, the memristor illustrates excellent conduction modulation property, so the long-term potentiation (LTP) or depression (LTD) and paired-pulse facilitation (PPF) synaptic functions are successfully achieved. The neural network simulation for pattern recognition is proposed with the recognition accuracy of 91.4%. These findings suggest the potential application of the LiSiOx memristor in the neuromorphic computing.

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Acknowledgements

This work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences under Grant No. XDB44000000 and the National Natural Science Foundation of China (No. 61774057).

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  1. These two authors contributed equally to this work.

Authors and Affiliations

  1. Faculty of Physics and Electronic Science, Hubei University, Wuhan, 430062, China

    Shanwu Ke, Li Jiang, Yifan Zhao, Yongyue Xiao, Bei Jiang, Gong Cheng, Guangsen Cao, Zehui Peng & Cong Ye

  2. Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China

    Min Zhu

  3. Institute of Electronics, Chiao Tung University, Hsinchu, 30010, Taiwan, China

    Facai Wu

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  1. Shanwu Ke
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  10. Min Zhu
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  11. Cong Ye
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Correspondence to Bei Jiang or Min Zhu.

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Ke, S., Jiang, L., Zhao, Y. et al. Brain-like synaptic memristor based on lithium-doped silicate for neuromorphic computing. Front. Phys. 17, 53508 (2022). https://doi.org/10.1007/s11467-022-1173-2

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