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Cited 5 time in webofscience Cited 5 time in scopus
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Short-term memory characteristics of TiN/WOX/FTO-based transparent memory device

Authors
Kim, GyeongpyoCho, YoungbooKim, Sungjun
Issue Date
Apr-2024
Publisher
Elsevier B.V.
Keywords
Memristor; Neuromorphic; Reservoir computing; Resistive switching
Citation
Chinese Journal of Physics, v.88, pp 1044 - 1052
Pages
9
Indexed
SCIE
SCOPUS
Journal Title
Chinese Journal of Physics
Volume
88
Start Page
1044
End Page
1052
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/21695
DOI
10.1016/j.cjph.2024.02.049
ISSN
0577-9073
2309-9097
Abstract
This work proposes a TiN/WOX/FTO device as a candidate for transparent artificial synapses. First, transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), and spectrophotometer analysis are used to analyze the material properties of the TiN/WOX/FTO device, whose optical transmittance exceeds 68 % for all wavelengths in the visible region. Specifically, the highest transparency of 78.1 % is observed at 580 nm. Self-rectifying switching characteristics are advantageous for suppressing leakage current in a crossbar array structure, which is achieved through a TiON layer due to the defects in an asymmetrical element stack and WOX/TiN interface; this shows that controlling the compliance current enables adjustment of the rectification ratio. Because of the self-rectifying characteristics, the improved 1/2 V scheme shows a better read margin. The programmed data show short-term characteristics that are lost over time, and short-term memory (STM) is confirmed through natural depression by changing the time interval of the read pulse. Based on these STM characteristics, biological synapse features such as potentiation, depression, and paired-pulse facilitation (PPF) are emulated. The typical potentiation and depression are also implemented by optimizing the set and reset pulses. Moreover, a high recognition accuracy (>94.68 %) is obtained for the modified National Institute of standards and Technology (MNIST) pattern. Finally, we demonstrate the feasibility of a reservoir computing device. © 2024 The Physical Society of the Republic of China (Taiwan)
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