In response to the challenges posed by traditional computing architectures in handling big data and AI demands, neuromorphic computing has emerged as a promising alternative inspired by the brain's efficiency. This study focuses on three-terminal synaptic transistors utilizing graphene and P(VDF-TrFE) to achieve dynamic reconfigurability between excitatory and inhibitory response modes, which are crucial for mimicking biological functions. The devices operate by applying different top gate spikes (±25 V and ±10 V) to modulate the polarization degree of P(VDF-TrFE), thereby regulating the carrier type and concentration in the graphene channel. This results in the effective realization of enhancement and inhibition processes in two neural-like states: excitatory and inhibitory modes, accompanied by good neural plasticity with paired-pulse facilitation and spike-time-dependent plasticity. With these features, the synaptic devices achieve brain-like memory enhancement and human-like perception functions, exhibiting excellent stability, durability over 1000 cycles, and a long retention period exceeding 10 years. Additionally, the performance of the artificial neural network is evaluated for handwritten digit recognition, achieving a high recognition accuracy of 92.28%. Our study showcases the development of highly stable, dynamically reconfigurable artificial synaptic transistors capable of emulating complex neural functions, providing a foundation for emerging neuromorphic computing systems and AI technologies.
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High-stable multifunctional dynamically reconfigurable artificial synapses based on hybrid graphene/ferroelectric field-effect transistors
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March 2025
Research Article|
January 22 2025
High-stable multifunctional dynamically reconfigurable artificial synapses based on hybrid graphene/ferroelectric field-effect transistors
Liang Liu
;
Liang Liu
(Conceptualization, Data curation, Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing)
1
School of Microelectronics, and Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE), and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University
, Xi'an 710129, China
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Xutao Zhang
;
Xutao Zhang
a)
(Conceptualization, Formal analysis, Writing – review & editing)
1
School of Microelectronics, and Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE), and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University
, Xi'an 710129, China
a)Author to whom correspondence should be addressed: [email protected]
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Ruijuan Tian;
Ruijuan Tian
(Investigation, Validation)
2
Key Laboratory of Light Field Manipulation and Information Acquisition, Ministry of Industry and Information Technology, and Shaanxi Key Laboratory of Optical Information Technology, School of Physical Science and Technology, Northwestern Polytechnical University
, Xi'an 710129, China
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Qiao Zhang
;
Qiao Zhang
(Investigation, Validation)
2
Key Laboratory of Light Field Manipulation and Information Acquisition, Ministry of Industry and Information Technology, and Shaanxi Key Laboratory of Optical Information Technology, School of Physical Science and Technology, Northwestern Polytechnical University
, Xi'an 710129, China
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Mingwen Zhang
;
Mingwen Zhang
(Formal analysis, Investigation)
2
Key Laboratory of Light Field Manipulation and Information Acquisition, Ministry of Industry and Information Technology, and Shaanxi Key Laboratory of Optical Information Technology, School of Physical Science and Technology, Northwestern Polytechnical University
, Xi'an 710129, China
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Yu Zhang
;
Yu Zhang
(Methodology, Validation)
2
Key Laboratory of Light Field Manipulation and Information Acquisition, Ministry of Industry and Information Technology, and Shaanxi Key Laboratory of Optical Information Technology, School of Physical Science and Technology, Northwestern Polytechnical University
, Xi'an 710129, China
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Xuetao Gan
Xuetao Gan
(Conceptualization, Funding acquisition, Supervision, Writing – review & editing)
1
School of Microelectronics, and Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE), and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University
, Xi'an 710129, China
2
Key Laboratory of Light Field Manipulation and Information Acquisition, Ministry of Industry and Information Technology, and Shaanxi Key Laboratory of Optical Information Technology, School of Physical Science and Technology, Northwestern Polytechnical University
, Xi'an 710129, China
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a)Author to whom correspondence should be addressed: [email protected]
Appl. Phys. Rev. 12, 011405 (2025)
Article history
Received:
August 28 2024
Accepted:
December 30 2024
Citation
Liang Liu, Xutao Zhang, Ruijuan Tian, Qiao Zhang, Mingwen Zhang, Yu Zhang, Xuetao Gan; High-stable multifunctional dynamically reconfigurable artificial synapses based on hybrid graphene/ferroelectric field-effect transistors. Appl. Phys. Rev. 1 March 2025; 12 (1): 011405. https://doi.org/10.1063/5.0235614
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