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Flexible Photonic Synapses Using Vertical ZnO Nanotubes on Graphene Films

Authors
Jo, HyerinAli, AsadOh, Won SukAn, Sung JinYi, Gyu-ChulOh, Hongseok
Issue Date
May-2024
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Photonic synapse; ZnO; neuromorphic devices
Citation
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, v.30, no.3
Journal Title
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
Volume
30
Number
3
URI
https://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/49338
DOI
10.1109/JSTQE.2023.3345488
ISSN
1077-260X
1558-4542
Abstract
We report the fabrication of flexible photonic synapses using vertically grown ZnO nanotubes on graphene layers. Position- and morphology-controlled ZnO nanotubes were heteroepitaxially grown on multilayer graphene layers and served as flexible channels for synaptic devices. Current-voltage characterizations under different light illumination conditions, as well as a study of the temperature-dependent transient photocurrent, revealed the origin of persistent photoconductivity of the device. Importantly, the device exhibited excellent synaptic properties upon application of light pulses, such as excitatory post-synaptic currents and paired pulse facilitations. For the long-term plasticity, potentiation-depression characteristics with high linearity were successfully implemented with good reliability. These features were observed even under different bending conditions, confirming the flexibility of the device. A simulation study suggested that the device will exhibit excellent performance when integrated into neural network structures.
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