Multifunctionalities of 2D MoS2 self-switching diode as memristor and photodetector

Files in this item

Files Size Format View
By request of the author, access to this item is restricted. See below for more details.

Multifunctionalities of 2D MoS2 self-switching diode as memristor and photodetector

Dragoman, Mircea; Aldrigo, Martino; Dragoman, Daniela; Povey, Ian M.; Iordanescu, Sergiu; Dinescu, Adrian; Di Donato, Andrea; Modreanu, Mircea
Date: 2020-09-23
Copyright: © 2020, Elsevier B.V. All rights reserved. This manuscript version is made available under the CC BY-NC-ND 4.0 license.
Copyright information: https://creativecommons.org/licenses/by-nc-nd/4.0/
Full text restriction information: Access to this article is restricted until 24 months after publication by request of the publisher.
Restriction lift date: 2022-09-23
Citation: Dragoman, M., Aldrigo, M., Dragoman, D., Povey, I. M., Iordanescu, S., Dinescu, A., Di Donato, A. and Modreanu, M. (2020) 'Multifunctionalities of 2D MoS2 self-switching diode as memristor and photodetector', Physica E: Low-dimensional Systems and Nanostructures. doi: 10.1016/j.physe.2020.114451
Published Version: 10.1016/j.physe.2020.114451

Abstract:

Self-switching diodes (SSD) were fabricated at the wafer level on a 2D few-layer MoS2 thin film (7 monolayers) grown on a 4-inch Al2O3/high-resistivity silicon wafer via Chemical Vapor Deposition (CVD). We report here that MoS2 behaves as a transparent piezoelectric material in the near infrared spectral region and as a strain-induced ferroelectric material with a measured d33 piezoelectric coefficient of 3-10 pm/V depending on the applied AC voltage. Moreover, we demonstrate experimentally that the SSDs behave as lateral memristors and as photodetectors in the visible spectrum, with responsivities as high as 17 A/W.

Show full item record

This item appears in the following Collection(s)

© 2020, Elsevier B.V. All rights reserved. This manuscript version is made available under the CC BY-NC-ND 4.0 license. Except where otherwise noted, this item's license is described as © 2020, Elsevier B.V. All rights reserved. This manuscript version is made available under the CC BY-NC-ND 4.0 license.
This website uses cookies. By using this website, you consent to the use of cookies in accordance with the UCC Privacy and Cookies Statement. For more information about cookies and how you can disable them, visit our Privacy and Cookies statement