Ferroelectric Polarization Enhanced Optoelectronic Synaptic Response of a CuInP<sub>2</sub>S<sub>6</sub> Transistor Structure

Neuromorphic computing can simulate brain function and is a pivotal element in next-generation computing, providing a potential solution to the limitations brought by the von Neumann bottleneck. Optoelectronic synaptic devices are highly promising tools for simulating biomimetic nervous systems. In this study, we developed an optoelectronic neuromorphic device with a transistor structure constructed using ferroelectric CuInP<sub>2</sub>S<sub>6</sub>. Essential synaptic behaviors in this device are observed in response to light and electrical stimuli. The optoferroelectric coupling is revealed, and the highly tunable gate modulation of the charge carrier is realized in a single device. On this basis, the light adaptation of the biological eyes and smarter Pavlovian dogs was implemented successfully and enhanced by ferroelectric polarization. The gate voltage application promotes the migration of additional Cu<sup>+</sup> ions in the in-plane direction, thus enhancing the synaptic performance of electrical stimulation. Meanwhile, the processing ability of convolutional kernel noise images in ferroelectric devices has been achieved. Our results offer the important observation and application of ferroelectric polarization-enhanced synaptic properties of a transistor structure and have great potential in promoting the development of two-dimensional van der Waals materials and devices.

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Publication Details

Journal
ACS Nano
Published
2024-10-22
DOI
https://doi.org/10.1021/acsnano.4c08810
Citations
45
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
9.39

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Ferroelectric Polarization Enhanced Optoelectronic Synaptic Response of a CuInP2S6 Transistor Structure

Yinzhou Yan, Su‐Ting Han, Jinxiang Deng, Zixuan Shang et al.
45 citations
ACS Nano
Advanced Memory and Neural Computing
9.39
article

Ferroelectric Polarization Enhanced Optoelectronic Synaptic Response of a CuInP2S6 Transistor Structure

Yinzhou Yan, Su‐Ting Han, Jinxiang Deng, Zixuan Shang, Xueyun Wang, Tianrui Zhai, Lingchen Liu, Hao Xu, Zheng Lou, Xiaolei Wang, Yuanyuan Cui, Guangcheng Wang, Jianming Deng, Lili Wang
article en
45 citations

Abstract

Neuromorphic computing can simulate brain function and is a pivotal element in next-generation computing, providing a potential solution to the limitations brought by the von Neumann bottleneck. Optoelectronic synaptic devices are highly promising tools for simulating biomimetic nervous systems. In this study, we developed an optoelectronic neuromorphic device with a transistor structure constructed using ferroelectric CuInP<sub>2</sub>S<sub>6</sub>. Essential synaptic behaviors in this device are observed in response to light and electrical stimuli. The optoferroelectric coupling is revealed, and the highly tunable gate modulation of the charge carrier is realized in a single device. On this basis, the light adaptation of the biological eyes and smarter Pavlovian dogs was implemented successfully and enhanced by ferroelectric polarization. The gate voltage application promotes the migration of additional Cu<sup>+</sup> ions in the in-plane direction, thus enhancing the synaptic performance of electrical stimulation. Meanwhile, the processing ability of convolutional kernel noise images in ferroelectric devices has been achieved. Our results offer the important observation and application of ferroelectric polarization-enhanced synaptic properties of a transistor structure and have great potential in promoting the development of two-dimensional van der Waals materials and devices.

ACS NanoVol. 18(44)
Beijing Institute of Technology (CN), Hong Kong Polytechnic University (HK), Chinese Academy of Sciences (CN), Beijing University of Technology (CN), Institute of Semiconductors (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 1%
Advanced Memory and Neural Computing
9.39
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