Floating gate photo-memory devices based on van der Waals heterostructures for neuromorphic image recognition
|Corresponding Author||Fu，Xiao; Miao，Jinshui|
Two-dimensional (2D) materials with reconfigurable properties show potential in neuromorphic hardware applications. However, most 2D materials-based neuromorphic hardware is volatile, which needs large energy to accomplish perception functions. Here, we report on nonvolatile floating gate photo-memory devices based on ReS/h-BN/SnS van der Waals heterostructures. The devices exhibit a large memory window of ∼60 V, a high program/erase current ratio of ∼10 with excellent retention characteristics, a low off-state current of 7.4 × 10 A, and a high detectivity of 1.98 × 10 cm Hz W, allowing for multi-bit information storage. For the multi-level storage capacity, 27 photo-memory states are obtained by pulsed laser illumination. Moreover, a neuromorphic computing network is also constructed based on the photo-memory devices with a maximum recognition accuracy of up to 90%. This work paves the way for miniaturization and high-density integration of future optoelectronics for neuromorphic hardware applications.
NI Journal Papers ; NI论文
National Key Research and Development Program of China[2021YFA0715602] ; National Natural Science Foundation of China["62261136552","62005303","62134001"] ; Shanghai Post-doctoral Excellence Program ; Shanghai Science and Technology Committee["21JC1406100","23YF1455400"] ; Open Research Projects of Zhejiang Lab[2022NK0AB01]
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Cited Times [WOS]:0
|Document Type||Journal Article|
|Department||Southern University of Science and Technology|
1.State Key Laboratory of Infrared Physics,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai,200083,China
2.University of Chinese Academy of Sciences,Beijing,China
3.Institute of Intelligent Machines,HFIPS,Chinese Academy of Sciences,Hefei,China
4.Southern University of Science and Technology,Shenzhen,China
5.Complex Environmental Science Exploration Center,Beijing Institute of Technology,Beijing,China
6.City University of Hong Kong,Hong Kong
Zubair，Muhammad,Dong，Yi,Cai，Bin,et al. Floating gate photo-memory devices based on van der Waals heterostructures for neuromorphic image recognition[J]. Applied Physics Letters,2023,123(5).
Zubair，Muhammad.,Dong，Yi.,Cai，Bin.,Fu，Xiao.,Wang，Hailu.,...&Miao，Jinshui.(2023).Floating gate photo-memory devices based on van der Waals heterostructures for neuromorphic image recognition.Applied Physics Letters,123(5).
Zubair，Muhammad,et al."Floating gate photo-memory devices based on van der Waals heterostructures for neuromorphic image recognition".Applied Physics Letters 123.5(2023).
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