Detailed Information

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

Synaptic Characteristics of Atomic Layer-Deposited Ferroelectric Lanthanum-Doped HfO2 (La:HfO2) and TaN-Based Artificial Synapses

Authors
Jeon, Yu-RimKim, Duho구본철Chung, ChulwonChoi, Changhwan
Issue Date
Dec-2023
Publisher
American Chemical Society
Keywords
analog synapse; ferroelectric; lanthanum-doped HfO<sub>2</sub>; multilevel polarization; neuromorphic computing system; TaN electrode
Citation
ACS Applied Materials & Interfaces, v.15, no.49, pp 57359 - 57368
Pages
10
Indexed
SCIE
SCOPUS
Journal Title
ACS Applied Materials & Interfaces
Volume
15
Number
49
Start Page
57359
End Page
57368
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/196826
DOI
10.1021/acsami.3c13159
ISSN
1944-8244
1944-8252
Abstract
Analog synaptic devices have made significant advances based on various electronic materials that can realize the biological synapse properties of neuromorphic computing. Ferroelectric (FE) HfO2-based materials with nonvolatile and low power consumption characteristics are being studied as promising materials for application to analog synaptic devices. The gradual reversal of FE multilevel polarization results in precise changes in the channel conductance and allows analogue synaptic weight updates. However, there have been few studies of FE synaptic devices doped with La, Y, and Gd. Furthermore, an investigation of interface quality is also crucial to enhance the remnant polarization (Pr), synaptic conductance linearity, and reliability characteristics. In this study, we demonstrate improved FE and artificial synaptic characteristics using an atomic layer-deposited (ALD) lanthanum-doped HfO2 (La:HfO2) and TaN electrode in the structure of an FE thin-film transistor (ITO/IGZO/La:HfO2/TaN), where indium-tin oxide (ITO) and indium-gallium-zinc oxide (IGZO) were used as source/drain and channel materials, respectively. Improved Pr and lower surface roughness were achieved by doped HfO2 and ALD TaN thin films. This synaptic transistor shows long-term potentiation and long-term depression with 200 levels of conductance states, high linearity (Ap, 0.97; Ad, 0.86), high Gmax/Gmin (∼6.1), and low cycle-to-cycle variability. In addition, a pattern recognition accuracy higher than 90% was achieved in an artificial neural network simulation.
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 신소재공학부 > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Choi, Chang hwan photo

Choi, Chang hwan
COLLEGE OF ENGINEERING (SCHOOL OF MATERIALS SCIENCE AND ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE