Volume 18, Issue 45 2203611
Research Article

Highly Linear and Symmetric Synaptic Memtransistors Based on Polarization Switching in Two-Dimensional Ferroelectric Semiconductors

Yitong Chen

Yitong Chen

School of Materials and Engineering, Zhejiang University, Hangzhou, 310027 China

Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, 310024 China

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Dingwei Li

Dingwei Li

School of Materials and Engineering, Zhejiang University, Hangzhou, 310027 China

Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, 310024 China

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Huihui Ren

Huihui Ren

School of Materials and Engineering, Zhejiang University, Hangzhou, 310027 China

Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, 310024 China

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Yingjie Tang

Yingjie Tang

School of Materials and Engineering, Zhejiang University, Hangzhou, 310027 China

Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, 310024 China

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Kun Liang

Kun Liang

School of Materials and Engineering, Zhejiang University, Hangzhou, 310027 China

Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, 310024 China

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Yan Wang

Yan Wang

School of Materials and Engineering, Zhejiang University, Hangzhou, 310027 China

Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, 310024 China

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Fanfan Li

Fanfan Li

Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, 310024 China

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Chunyan Song

Chunyan Song

Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, 310024 China

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Jiaqi Guan

Jiaqi Guan

Instrumentation and Service Centre for Physical Sciences, Westlake University, Hangzhou, 310024 China

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Zhong Chen

Zhong Chen

Instrumentation and Service Centre for Molecular Sciences, Westlake University, Hangzhou, 310024 China

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Xingyu Lu

Xingyu Lu

Instrumentation and Service Centre for Molecular Sciences, Westlake University, Hangzhou, 310024 China

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Guangwei Xu

Guangwei Xu

School of Microelectronics, University of Science and Technology of China, Hefei, 230026 China

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Wenbin Li

Wenbin Li

Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, 310024 China

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Shi Liu

Shi Liu

School of Science, Westlake University, Hangzhou, Zhejiang, 310024 China

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Bowen Zhu

Corresponding Author

Bowen Zhu

Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, 310024 China

Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, 310024 China

E-mail: [email protected]

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First published: 26 September 2022
Citations: 17

Abstract

Brain-inspired neuromorphic computing hardware based on artificial synapses offers efficient solutions to perform computational tasks. However, the nonlinearity and asymmetry of synaptic weight updates in reported artificial synapses have impeded achieving high accuracy in neural networks. Here, this work develops a synaptic memtransistor based on polarization switching in a two-dimensional (2D) ferroelectric semiconductor (FES) of α-In2Se3 for neuromorphic computing. The α-In2Se3 memtransistor exhibits outstanding synaptic characteristics, including near-ideal linearity and symmetry and a large number of programmable conductance states, by taking the advantages of both memtransistor configuration and electrically configurable polarization states in the FES channel. As a result, the α-In2Se3 memtransistor-type synapse reaches high accuracy of 97.76% for digit patterns recognition task in simulated artificial neural networks. This work opens new opportunities for using multiterminal FES memtransistors in advanced neuromorphic electronics.

Conflict of Interest

The authors declare no conflict of interest.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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