Detailed Information

Cited 39 time in webofscience Cited 38 time in scopus
Metadata Downloads

Pseudo-Interface Switching of a Two-Terminal TaOx/HfO(2)Synaptic Device for Neuromorphic Applicationsopen access

Authors
Ryu, HojeongKim, Sungjun
Issue Date
Aug-2020
Publisher
MDPI
Keywords
memristor; synapse device; neuromorphic computing; tantalum oxide; hafnium oxide
Citation
NANOMATERIALS, v.10, no.8, pp 1 - 9
Pages
9
Indexed
SCIE
SCOPUS
Journal Title
NANOMATERIALS
Volume
10
Number
8
Start Page
1
End Page
9
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/6387
DOI
10.3390/nano10081550
ISSN
2079-4991
2079-4991
Abstract
Memristor-type synaptic devices that can effectively emulate synaptic plasticity open up new directions for neuromorphic hardware systems. Here, a double high-k oxide structured memristor device (TaOx/HfO2) was fabricated, and its synaptic applications were characterized. Device deposition was confirmed through TEM imaging and EDS analysis. During the forming and set processes, switching of the memristor device can be divided into three types by compliance current and cycling control. Filamentary switching has strengths in terms of endurance and retention, but conductance is low. On the other hand, for interface-type switching, conductance is increased, but at the cost of endurance and retention. In order to overcome this dilemma, we proposed pseudo interface-type switching, and obtained excellent retention, decent endurance, and a variety of conductance levels that can be modulated by pulse response. The recognition rate calculated by the neural network simulation using the Fashion Modified National Institute of Standards and Technology database (MNIST) dataset, and the measured conductance values show that pseudo interface-type switching produces results that are similar to those of an interface-type device.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Electronics and Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Sung Jun photo

Kim, Sung Jun
College of Engineering (Department of Electronics and Electrical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE