Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Improvement of Conductance Modulation Linearity in a Cu2+-Doped KNbO3 Memristor through the Increase of the Number of Oxygen Vacancies

Authors
Park, Sung-MeanHwang, Hyun-GyuWoo, Jong-UnLee, Woong-HeeChae, Seok-JuneNahm, Sahn
Issue Date
8-Jan-2020
Publisher
AMER CHEMICAL SOC
Keywords
conductance modulation linearity; neuromorphic device; artificial synapse; copper ions doping; oxygen vacancy filaments; potassium niobate memristors
Citation
ACS APPLIED MATERIALS & INTERFACES, v.12, no.1, pp.1069 - 1077
Indexed
SCIE
SCOPUS
Journal Title
ACS APPLIED MATERIALS & INTERFACES
Volume
12
Number
1
Start Page
1069
End Page
1077
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/58329
DOI
10.1021/acsami.9b18794
ISSN
1944-8244
Abstract
The Pt/KNbO3/TiN/Si (KN) memristor exhibits various biological synaptic properties. However, it also displays nonlinear conductance modulation with the application of identical pulses, indicating that it should be improved for neuromorphic applications. The abrupt change of the conductance originates from the inhomogeneous growth/dissolution of oxygen vacancy filaments in the KN film. The change of the filaments in a KN film is controlled by two mechanisms with different growth/dissolution rates: a redox process with a fast rate and an oxygen vacancy diffusion process with a slow rate. Therefore, the conductance modulation linearity can be improved if the growth/dissolution of the filaments is controlled by only one mechanism. When the number of oxygen vacancies in the KN film was increased through doping of Cu2+ ions, the growth/dissolution of the filaments in the Cu2+-doped KN (CKN) film was mainly influenced by the redox process of oxygen vacancies. Therefore, the CKN film exhibited improved conductance modulation linearity, confirming that the linearity of conductance modulation can be improved by increasing the number of oxygen vacancies in the memristor. This method can be applied to other memristors to improve the linearity of conductance modulation. The CKN memristor also provides excellent biological synaptic characteristics for neuromorphic computing systems.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Materials Science and Engineering > 1. Journal Articles

qrcode

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

Altmetrics

Total Views & Downloads

BROWSE