Synaptic Characteristics of Atomic Layer-Deposited Ferroelectric Lanthanum-Doped HfO2 (La:HfO2) and TaN-Based Artificial Synapses
- Authors
- Jeon, Yu-Rim; Kim, Duho; 구본철; Chung, Chulwon; Choi, 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

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