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Cited 6 time in webofscience Cited 6 time in scopus
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Noise-assisted transport mechanism analysis and synaptic characteristics in ZrOX/HfAlOX-based memristor for neuromorphic systemsopen access

Authors
Heo, JungangCho, YoungbooJi, HyeonseungKim, Min-HwiLee, Jong-HoLee, Jung-KyuKim, Sungjun
Issue Date
Nov-2023
Publisher
AIP Publishing
Keywords
Pattern Recognition; Bi-layer Structure; Forming Voltages; Mechanism Analysis; Memristor; Neuromorphic Systems; Power Consumption Reduction; Resistive Switching; Switching Characteristics; Tin And Ti; Transport Mechanism; Computer Software
Citation
APL Materials, v.11, no.11, pp 1 - 12
Pages
12
Indexed
SCIE
SCOPUS
Journal Title
APL Materials
Volume
11
Number
11
Start Page
1
End Page
12
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/20505
DOI
10.1063/5.0175587
ISSN
2166-532X
2166-532X
Abstract
In this work, we compare the resistive switching characteristics between Ti/ZrOX/TiN and Ti/ZrOX/HfAlOX/TiN. The bilayer structure of the ZrOX-based device enables power consumption reduction owing to a lower forming voltage and compliance current. Moreover, the on/off ratio of the Ti/ZrOX/HfAlOX/TiN device (>102) is higher than that of the Ti/ZrOX/TiN device (>10). We use the 1/f noise measurement technique to clarify the transport mechanism of the Ti/ZrOX/HfAlOX/TiN device; consequently, ohmic conduction and Schottky emission are confirmed in the low- and high-resistance states, respectively. In addition, the multilevel cell, potentiation, and depression characteristics of the Ti/ZrOX/HfOX/TiN device are considered to assess its suitability as a neuromorphic device. Accordingly, a modified National Institute of Standards and Technology database simulation is conducted using Python to test the pattern recognition accuracy. © 2023 Author(s).
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