Dual‐Functional Optoelectronic Synaptic Device Based on MoTe<sub>2</sub>/h‐BN Transistor Through UV Light Induced Doping

Synaptic devices serve as the fundamental units of the brain-inspired neuromorphic computing architecture, which has been proposed to complement the drawback of von Neumann configuration in terms of computational efficiency. In this study, a dual-functional optoelectronic synaptic device is proposed based on the three-terminal MoTe<sub>2</sub>/h-BN transistor to seamlessly integrate both the synaptic and logic operation functions. The device can be switched between n- and p-type modes through ultraviolet (UV) light induced doping, allowing for versatile plasticity modulation strategies tailored to each operational mode. Comprehensive characterization of the synaptic behavior of the device reveals impressive stability and repeatability. The device is then explored to a virtual three-layered neural network array to classify the handwritten digit images from the Modified National Institute of Standards and Technology database, which achieves an accuracy of 95.4% and 94.2% for the n- and p-type modes, respectively, after 40 training cycles. The device also demonstrates its capability as optoelectronic logic gates, including "AND", "OR" and "XOR" under different gate bias. This multifaceted operation signifies a substantial advancement in the development of hybrid systems that leverage both synaptic and traditional logic functionalities, thereby enhancing the overall efficiency of data processing tasks.

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Publication Details

Journal
Small
Published
2025-04-17
DOI
https://doi.org/10.1002/smll.202500184
Citations
5
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
3.65

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article

Dual‐Functional Optoelectronic Synaptic Device Based on MoTe2/h‐BN Transistor Through UV Light Induced Doping

Xuchen Han, Yan Wang, Jing Liu, B.S. Pei
5 citations
Small
Advanced Memory and Neural Computing
3.65
article

Dual‐Functional Optoelectronic Synaptic Device Based on MoTe2/h‐BN Transistor Through UV Light Induced Doping

Xuchen Han, Yan Wang, Jing Liu, B.S. Pei
article en
5 citations

Abstract

Synaptic devices serve as the fundamental units of the brain-inspired neuromorphic computing architecture, which has been proposed to complement the drawback of von Neumann configuration in terms of computational efficiency. In this study, a dual-functional optoelectronic synaptic device is proposed based on the three-terminal MoTe<sub>2</sub>/h-BN transistor to seamlessly integrate both the synaptic and logic operation functions. The device can be switched between n- and p-type modes through ultraviolet (UV) light induced doping, allowing for versatile plasticity modulation strategies tailored to each operational mode. Comprehensive characterization of the synaptic behavior of the device reveals impressive stability and repeatability. The device is then explored to a virtual three-layered neural network array to classify the handwritten digit images from the Modified National Institute of Standards and Technology database, which achieves an accuracy of 95.4% and 94.2% for the n- and p-type modes, respectively, after 40 training cycles. The device also demonstrates its capability as optoelectronic logic gates, including "AND", "OR" and "XOR" under different gate bias. This multifaceted operation signifies a substantial advancement in the development of hybrid systems that leverage both synaptic and traditional logic functionalities, thereby enhancing the overall efficiency of data processing tasks.

SmallVol. 21(23)
Tianjin University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 7%
Advanced Memory and Neural Computing
3.65
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