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Cited 4 time in webofscience Cited 4 time in scopus
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The Enhanced Performance of Neuromorphic Computing Hardware in an ITO/ZnO/HfOx/W Bilayer-Structured Memory Deviceopen access

Authors
Noh, MinseoJu, DongyeolCho, SeongjaeKim, Sungjun
Issue Date
Nov-2023
Publisher
MDPI
Keywords
neuromorphic system; resistive switching; spike-timing-dependent plasticity; ZnO
Citation
Nanomaterials, v.13, no.21, pp 1 - 12
Pages
12
Indexed
SCIE
SCOPUS
Journal Title
Nanomaterials
Volume
13
Number
21
Start Page
1
End Page
12
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/20518
DOI
10.3390/nano13212856
ISSN
2079-4991
2079-4991
Abstract
This study discusses the potential application of ITO/ZnO/HfOx/W bilayer-structured memory devices in neuromorphic systems. These devices exhibit uniform resistive switching characteristics and demonstrate favorable endurance (>102) and stable retention (>104 s). Notably, the formation and rupture of filaments at the interface of ZnO and HfOx contribute to a higher ON/OFF ratio and improve cycle uniformity compared to RRAM devices without the HfOx layer. Additionally, the linearity of potentiation and depression responses validates their applicability in neural network pattern recognition, and spike-timing-dependent plasticity (STDP) behavior is observed. These findings collectively suggest that the ITO/ZnO/HfOx/W structure holds the potential to be a viable memory component for integration into neuromorphic systems. © 2023 by the authors.
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