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Cited 21 time in webofscience Cited 22 time in scopus
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Diverse synaptic weight adjustment of bio-inspired ZrOx-based memristors for neuromorphic systemopen access

Authors
Kim, ChaeunLee, YunseokKim, SunghunKang, MyounggonKim, Sungjun
Issue Date
Apr-2023
Publisher
Elsevier Ltd
Keywords
AI semiconductor; Neural network; Neuromorphic system; Memristor; Resistive switching
Citation
Materials Science in Semiconductor Processing, v.157, pp 1 - 6
Pages
6
Indexed
SCIE
SCOPUS
Journal Title
Materials Science in Semiconductor Processing
Volume
157
Start Page
1
End Page
6
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/21322
DOI
10.1016/j.mssp.2023.107314
ISSN
1369-8001
1873-4081
Abstract
In this article, we demonstrate the bio-inspired synaptic features of the TiN/ZrOx/Pt capacitor structure for neuromorphic engineering. The chemical and material compositions and the thicknesses of each of the layers are verified by using transmission electron microscopy (TEM) images and energy-dispersive X-ray spectroscopy (EDS) maps. Stable resistive switching with a low set voltage (-1 V) was determined by scanning the DC I-V curves of many cells. The DC endurance of-104 cycles and retention (10,000 s) in five states was achieved. Multi-level cells (MLC) characteristics were achieved based on the compliance current and reset stop voltage in DC sweep and pulses. Finally, we emulated paired-pulse facilitation (PPF), paired-pulse depression (PPD), electric excitatory postsynaptic current (EPSC), and spike-timing-dependent plasticity (STDP) of the artificial synapse by using the RRAM device.
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