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Cited 4 time in webofscience Cited 4 time in scopus
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High-Performance Memristive Synapse Composed of Ferroelectric ZnVO-Based Schottky Junctionopen access

Authors
Lee, YoungminHong, ChulwoongSekar, SankarLee, Sejoon
Issue Date
Mar-2024
Publisher
MDPI
Keywords
vanadium-doped ZnO; ferroelectric Schottky junction; synaptic device
Citation
Nanomaterials, v.14, no.6, pp 1 - 17
Pages
17
Indexed
SCIE
SCOPUS
Journal Title
Nanomaterials
Volume
14
Number
6
Start Page
1
End Page
17
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/26312
DOI
10.3390/nano14060506
ISSN
2079-4991
2079-4991
Abstract
In pursuit of realizing neuromorphic computing devices, we demonstrated the high-performance synaptic functions on the top-to-bottom Au/ZnVO/Pt two-terminal ferroelectric Schottky junction (FSJ) device architecture. The active layer of ZnVO exhibited the ferroelectric characteristics because of the broken lattice-translational symmetry, arising from the incorporation of smaller V5+ ions into smaller Zn2+ host lattice sites. The fabricated FSJ devices displayed an asymmetric hysteresis behavior attributed to the ferroelectric polarization-dependent Schottky field-emission rate difference in between positive and negative bias voltage regions. Additionally, it was observed that the magnitude of the on-state current could be systematically controlled by changing either the amplitude or the width of the applied voltage pulses. Owing to these voltage pulse-tunable multi-state memory characteristics, the device revealed diverse synaptic functions such as short-term memory, dynamic range-tunable long-term memory, and versatile rules in spike time-dependent synaptic plasticity. For the pattern-recognition simulation, furthermore, more than 95% accuracy was recorded when using the optimized experimental device parameters. These findings suggest the ZnVO-based FSJ device holds significant promise for application in next-generation brain-inspired neuromorphic computing systems.
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