Ti3C2-Based MXene Oxide Nanosheets for Resistive Memory and Synaptic Learning Applications
- Authors
- Khot, Atul C.; Dongale, Tukaram D.; Park, Ju Hyun; Kesavan, Arul Varman; Kim, Tae Geun
- Issue Date
- 3-2월-2021
- Publisher
- AMER CHEMICAL SOC
- Keywords
- Ti3C2 MXene; 2D nanomaterial; resistive switching; memristive effect; synaptic learning
- Citation
- ACS APPLIED MATERIALS & INTERFACES, v.13, no.4, pp.5216 - 5227
- Indexed
- SCIE
SCOPUS
- Journal Title
- ACS APPLIED MATERIALS & INTERFACES
- Volume
- 13
- Number
- 4
- Start Page
- 5216
- End Page
- 5227
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/49613
- DOI
- 10.1021/acsami.0c19028
- ISSN
- 1944-8244
- Abstract
- MXene, a new state-of-the-art two-dimensional (2D) nanomaterial, has attracted considerable interest from both industry and academia because of its excellent electrical, mechanical, and chemical properties. However, MXene-based device engineering has rarely been reported. In this study, we explored Ti3C2 MXene for digital and analog computing applications by engineering the top electrode. For this purpose, Ti3C2 MXene was synthesized by a simple chemical process, and its structural, compositional, and morphological properties were studied using various analytical tools. Finally, we explored its potential application in bipolar resistive switching (RS) and synaptic learning devices. In particular, the effect of the top electrode (Ag, Pt, and Al) on the RS properties of the Ti3C2 MXene-based memory devices was thoroughly investigated. Compared with the Ag and Pt top electrode-based devices, the Al/Ti3C2/Pt device exhibited better RS and operated more reliably, as determined by the evaluation of the charge-magnetic property and memory endurance and retention. Thus, we selected the Al/Ti3C2/Pt memristive device to mimic the potentiation and depression synaptic properties and spike-timing-dependent plasticity-based Hebbian learning rules. Furthermore, the electron transport in this device was found to occur by a filamentary RS mechanism (based on oxidized Ti3C2 MXene), as determined by analyzing the electrical fitting curves. The results suggest that the 2D Ti3C2 MXene is an excellent nanomaterial for non-volatile memory and synaptic learning applications.
- 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
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.