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Cited 3 time in webofscience Cited 3 time in scopus
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Effect of oxygen flow rate on long-term and short-term Schottky barrier modulations in Pd/IGZO/SiO2/p+-Si memristorsopen access

Authors
Lee, Hee JunKim, DongukChoi, Woo SikKim, ChangwookChoi, Sung-JinBae, Jong-HoKim, Dong MyongKim, SungjunKim, Dae Hwan
Issue Date
Jan-2023
Publisher
Elsevier Ltd.
Keywords
Neuromorphic system; Synaptic device; Memristor; Indium gallium zinc oxide; Neuromorphic simulation
Citation
Materials Science in Semiconductor Processing, v.153, pp 1 - 7
Pages
7
Indexed
SCIE
SCOPUS
Journal Title
Materials Science in Semiconductor Processing
Volume
153
Start Page
1
End Page
7
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/21342
DOI
10.1016/j.mssp.2022.107183
ISSN
1369-8001
1873-4081
Abstract
In this work, we investigate the long-and short-term Schottky barrier modulations in a Pd/IGZO/SiO2/p+-Si memristor under oxygen flow rate (OFR) control. The thickness of the SiO2 layer verified using transmission electron microscopy (TEM) was found to affect resistive-switching characteristics such as the on/off ratio. A high barrier was observed corresponding to a high OFR in the thermionic emission model. In addition, we present an energy band diagram considering traps and oxygen vacancies for oxygen-rich (O-rich) and oxygen-poor (O-poor) devices. Moreover, physical parameters such as a change in barrier height, activation energy, and potentiation/ depression were experimentally extracted through various pulse schemes. Experimental results reveal that an O-rich device has high accuracy with a neural network on the MNIST dataset. In this study, we optimized the resistive-switching characteristics by varying OFR as an experimental factor. Further, we provide guidelines for designing hardware-based neuromorphic systems by separating short-and long-term components.
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