Synaptic Plasticity and Memory Retention in ZnO-CNT Nanocomposite Optoelectronic Synaptic Devices.

IF 3.1 3区 材料科学 Q3 CHEMISTRY, PHYSICAL
Materials Pub Date : 2025-05-15 DOI:10.3390/ma18102293
Seung Hun Lee, Dabin Jeon, Sung-Nam Lee
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Abstract

This study presents the fabrication and characterization of ZnO-CNT composite-based optoelectronic synaptic devices via a sol-gel process. By incorporating various concentrations of CNTs (0-2.0 wt%) into ZnO thin films, we investigated their effects on synaptic behaviors under ultraviolet (UV) stimulation. The CNT addition enhanced the electrical and optical performance by forming a p-n heterojunction with ZnO, which promoted charge separation and suppressed recombination. As a result, the 1.5 wt% CNT device exhibited the highest excitatory postsynaptic current (EPSC), improved paired-pulse facilitation, and prolonged memory retention. Learning-forgetting cycles revealed that repeated stimulation reduced the number of pulses required for relearning while extending the forgetting time, mimicking biological memory reinforcement. Energy consumption per pulse was estimated at 16.34 nJ, suggesting potential for low-power neuromorphic applications. A 3 × 3 device array was also employed for visual memory simulation, showing spatially controllable and stable memory states depending on CNT content. To support these findings, structural and optical analyses were conducted using scanning electron microscopy (SEM), UV-visible absorption spectroscopy, photoluminescence (PL) spectroscopy, and Raman spectroscopy. These findings demonstrate that the synaptic characteristics of ZnO-based devices can be finely tuned through CNT incorporation, providing a promising pathway for the development of energy-efficient and adaptive optoelectronic neuromorphic systems.

ZnO-CNT纳米复合光电突触器件的突触可塑性和记忆保持。
本研究通过溶胶-凝胶工艺制备了ZnO-CNT复合材料的光电突触器件。通过在ZnO薄膜中加入不同浓度的CNTs (0-2.0 wt%),我们研究了它们在紫外线刺激下对突触行为的影响。碳纳米管的加入通过与ZnO形成p-n异质结来提高电学和光学性能,促进电荷分离并抑制复合。结果显示,1.5 wt%碳纳米管装置表现出最高的兴奋性突触后电流(EPSC),改善了成对脉冲促进,延长了记忆保持时间。学习-遗忘周期表明,重复刺激减少了重新学习所需的脉冲次数,同时延长了遗忘时间,模拟了生物记忆的强化。每脉冲能量消耗估计为16.34 nJ,表明低功耗神经形态应用的潜力。采用3 × 3器件阵列进行视觉记忆模拟,显示出不同碳纳米管含量的空间可控和稳定的记忆状态。为了支持这些发现,使用扫描电子显微镜(SEM)、紫外-可见吸收光谱、光致发光(PL)光谱和拉曼光谱进行了结构和光学分析。这些发现表明,zno基器件的突触特性可以通过碳纳米管的结合进行精细调节,为开发节能和自适应光电神经形态系统提供了一条有希望的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Materials
Materials MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
5.80
自引率
14.70%
发文量
7753
审稿时长
1.2 months
期刊介绍: Materials (ISSN 1996-1944) is an open access journal of related scientific research and technology development. It publishes reviews, regular research papers (articles) and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Materials provides a forum for publishing papers which advance the in-depth understanding of the relationship between the structure, the properties or the functions of all kinds of materials. Chemical syntheses, chemical structures and mechanical, chemical, electronic, magnetic and optical properties and various applications will be considered.
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