journal article·2020-03-11

Artificial Synapse Based on van der Waals Heterostructures with Tunable Synaptic Functions for Neuromorphic Computing

Congli He, Jian Tang, Da-Shan Shang, Jianshi Tang, Yue Xi, Shuopei Wang, Na Li, Qingtian Zhang, Ji-Kai Lu, Zheng Wei, Qinqin Wang, Cheng Shen, Jiawei Li, Shipeng Shen, Jianxin Shen, Rong Yang, Dongxia Shi, Huaqiang Wu, Shouguo Wang, Guangyu Zhang

ACS Applied Materials & Interfaces· Volume 12· Issue 10
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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.
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OpenAlex topics: American Environmental and Regional History

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Affiliations

Institute of Advanced Materials, Beijing Normal University, Beijing 100875, China

Beijing National Laboratory for Condensed Matter Physics and Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China

School of Physical Science, University of Chinese Academy of Sciences, Beijing 100190, China

The Key Laboratory of Microelectronics Device & Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China

Institute of Microelectronics, Beijing Innovation Center for Future Chips (ICFC), Tsinghua University, Beijing 100084, China

Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China

Songshan-Lake Materials Laboratory, Dongguan 523808, Guangdong Province, China

Beijing Key Laboratory for Nanomaterials and Nanodevices, Beijing 100190, China

Funding

National Science Foundation of China (NSFC)

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