Floating gate photo-memory devices based on van der Waals heterostructures for neuromorphic image recognition

作者：Zubair, Muhammad; Dong, Yi; Cai, Bin; Fu, Xiao^*; Wang, Hailu; Li, Tangxin; Wang, Jinjin; Liu, Shuning; Xia, Mengjia; Zhao, Qixiao; Xie, Runzhang; Xu, Hangyu; Jiang, Xiaoyong; Hu, Shuhong; Song, Bo; Chen, Xiaolong; Zhou, Jiadong; Dong, Lixin; Miao, Jinshui^*

来源：Applied Physics Letters, 2023, 123(5): 051102.

DOI：10.1063/5.0157710

• GRAPHENE
• MOS2

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 ReS2/h-BN/SnS2 van der Waals heterostructures. The devices exhibit a large memory window of similar to 60 V, a high program/erase current ratio of similar to 10(7) with excellent retention characteristics, a low off-state current of 7.4 x 10(-13) A, and a high detectivity of 1.98 x 10(13) cm Hz(1/2) W-1, 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.

• 单位
  北京理工大学; 中国科学院研究生院