ArticleMaterials (Basel, Switzerland)2025
Synaptic Plasticity and Memory Retention in ZnO-CNT Nanocomposite Optoelectronic Synaptic Devices.
Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Examination within a Photonic Memory-Based Framework: Al and In Dual-Doped ZnO Thin Film UV Photosensor Devices.ACS applied materials & interfaces · 2026Article
- Substrate Orientation-Dependent Synaptic Plasticity and Visual Memory in Sol-Gel-Derived ZnO Optoelectronic Devices.Materials (Basel, Switzerland) · 2025Article
- Recent Advances in Optoelectronic Synaptic Devices for Neuromorphic Computing.Biomimetics (Basel, Switzerland) · 2025Review
- Molecular Dynamics Simulation on Orientation-Dependent Mechanical Behaviors of ZnO Single Crystals Under Nanoindentation.Materials (Basel, Switzerland) · 2025Article
- Enhanced Optoelectronic Synaptic Performance in Sol-Gel Derived Al-Doped ZnO Thin Film Devices.Materials (Basel, Switzerland) · 2025Article
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Authors and funding
3 authors.
Funding
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.
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Registered trials
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