Detailed Information

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

Ferroelectric Field-Effect-Transistor Integrated with Ferroelectrics Heterostructureopen access

Authors
Baek, SungpyoYoo, Hyun HoJu, Jae HyeokSriboriboon, PanithanSingh, PrashantNiu, JingjiePark, Jin-HongShin, ChanghwanKim, YunseokLee, Sungjoo
Issue Date
7월-2022
Publisher
WILEY
Keywords
ferroelectric semiconductors; ferroelectronics; van der Waals ferroelectric heterostructures
Citation
ADVANCED SCIENCE, v.9, no.21
Indexed
SCIE
SCOPUS
Journal Title
ADVANCED SCIENCE
Volume
9
Number
21
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/142161
DOI
10.1002/advs.202200566
ISSN
2198-3844
Abstract
To address the demands of emerging data-centric computing applications, ferroelectric field-effect transistors (Fe-FETs) are considered the forefront of semiconductor electronics owing to their energy and area efficiency and merged logic-memory functionalities. Herein, the fabrication and application of an Fe-FET, which is integrated with a van der Waals ferroelectrics heterostructure (CuInP2S6/alpha-In2Se3), is reported. Leveraging enhanced polarization originating from the dipole coupling of CIPS and alpha-In2Se3, the fabricated Fe-FET exhibits a large memory window of 14.5 V at V-GS = +/- 10 V, reaching a memory window to sweep range of approximate to 72%. Piezoelectric force microscopy measurements confirm the enhanced polarization-induced wider hysteresis loop of the double-stacked ferroelectrics compared to single ferroelectric layers. The Landau-Khalatnikov theory is extended to analyze the ferroelectric characteristics of a ferroelectric heterostructure, providing detailed explanations of the hysteresis behaviors and enhanced memory window formation. The fabricated Fe-FET shows nonvolatile memory characteristics, with a high on/off current ratio of over 10(6), long retention time (>10(4) s), and stable cyclic endurance (>10(4) cycles). Furthermore, the applicability of the ferroelectrics heterostructure is investigated for artificial synapses and for hardware neural networks through training and inference simulation. These results provide a promising pathway for exploring low-dimensional ferroelectronics.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Shin, Changhwan photo

Shin, Changhwan
공과대학 (전기전자공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE