Detailed Information

Cited 12 time in webofscience Cited 14 time in scopus
Metadata Downloads

Effect of Al Concentration on Ferroelectric Properties in HfAlOx-Based Ferroelectric Tunnel Junction Devices for Neuroinspired Applicationsopen access

Authors
Kim, JihyungKim, DahyeMin, Kyung KyuKraatz, MatthiasHan, TaeyoungKim, Sungjun
Issue Date
Aug-2023
Publisher
Wiley-VCH GmbH
Keywords
Al concentrations; ferroelectric tunnel junctions; frequency-dependent switching neuromorphic applications; reservoir computing
Citation
Advanced Intelligent Systems, v.5, no.8
Indexed
SCIE
SCOPUS
Journal Title
Advanced Intelligent Systems
Volume
5
Number
8
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/21187
DOI
10.1002/aisy.202300080
ISSN
2640-4567
2640-4567
Abstract
Since HfOx-based ferroelectric tunnel junctions (FTJs) are attractive compared to perovskite-based FTJs and other emerging memory devices, they are being actively studied recently. They have advantages such as a simple metal-insulator-metal structure, complementary metal oxide semiconductor (CMOS) compatibility, non-destructive operation, and low power consumption. Moreover, doped HfOx-based FTJs are in the spotlight in terms of neuromorphic engineering as a way of advancing from the von Neumann structure. In particular, Al dopant is effective for inducing ferroelectric properties due to its smaller radius than that of Hf. The optimal concentration of Al varies depending on the device materials and the annealing conditions during deposition. Therefore, in-depth research is required for neuromorphic applications. Herein, the properties of FTJ devices according to Al doping concentrations are analyzed. Subsequently, using the device with the highest remanent polarization, neuromorphic applications are implemented, including spike-timing-dependent plasticity (STDP), paired-pulse facilitation (PPF), long-term potentiation, and depression. The characteristics in different frequency regions are also studied to satisfy the demand for fast switching. Finally, the FTJ device is used as a physical reservoir in reservoir computing for efficient processing of time-dependent inputs.
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