Artificial Synapse Based on van der Waals Heterostructures with Tunable Synaptic Functions for Neuromorphic Computing
Congli He, Jian Tang, Dashan Shang, Jianshi Tang, Yue Xi, Shuopei Wang, Na Li, Qingtian Zhang, Jikai Lu, Zheng Wei, Qinqin Wang, Cheng Shen, Jiawei Li, Shipeng Shen, Jianxin Shen, Rong Yang, Dongxia Shi, Huaqiang Wu, Shouguo Wang, Guangyu Zhang
Abstract
Two-dimensional (2D) materials and van der Waals heterostructures have attracted tremendous attention because of their appealing electronic, mechanical, and optoelectronic properties, which offer the possibility to extend the range of functionalities for diverse potential applications. Here, we fabricate a novel multiterminal device with dual-gate based on 2D material van der Waals heterostructures. Such a multiterminal device exhibited excellent nonvolatile multilevel resistance switching performance controlled by the source-drain voltage and back-gate voltage. Based on these features, heterosynaptic plasticity, in which the synaptic weight can be tuned by another modulatory interneuron, has been mimicked. A tunable analogue weight update (both on/off ratio and update nonlinearity) of synapse with high speed (50 ns) and low energy (∼7.3 fJ) programming has been achieved. These results demonstrate the great potential of the artificial synapse based on van der Waals heterostructures for neuromorphic computing.