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Enhanced non-volatile resistive switching performance through ion-assisted magnetron sputtering of TiN bottom electrodes

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Peer-reviewed

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Abstract

Abstract Emerging non-volatile memristor-based devices with resistive switching (RS) materials are being widely researched as promising contenders for the next generation of data storage and neuromorphic technologies. Titanium nitride (TiNx) is a common industry-friendly electrode system for RS; however, the precise TiNx properties required for optimum RS performance is still lacking. Herein, using ion-assisted DC magnetron sputtering, we demonstrate the key importance not only of engineering the TiNx bottom electrodes to be dense, smooth, and conductive, but also understoichiometric in N. With these properties, RS in HfO2-based memristive devices is shown to be optimised for TiN0.96. These devices have switching voltages ≤ ±1 V with promising device-to-device uniformity, endurance, memory window of ~40, and multiple non-volatile intermediate conductance levels. This study highlights the importance of precise tuning of TiNx bottom electrodes to achieve robust performance of oxide resistive switching materials.

Description

Acknowledgements: B.B. acknowledges the financial support from Swedish Research Council VR, grant numbers 2019-00191 (for the accelerator-based ion-technological centre in tandem accelerator laboratory in Uppsala University, Sweden) and 2021-00357, CAPE BlueSky Research Award 2022, and Energy IRC Small Grant award for Knowledge Exchange and Impact from the Higher Education Innovation Fund (HEIF). J.L.M.-D. acknowledges support from the Royal Academy of Engineering Chair in Emerging Technologies, grant number CIET1819_24. J.L.M.-D., M.H. and B.B. acknowledge the EU-H2020-ERC-ADG grant and EROS, grant number 882929. The TEM/STEM effort at Purdue University was supported by the U.S. National Science Foundation (DMREF-2323752).

Journal Title

Communications Materials

Conference Name

Journal ISSN

2662-4443
2662-4443

Volume Title

6

Publisher

Springer Science and Business Media LLC

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Except where otherwised noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
Sponsorship
European Commission Horizon 2020 (H2020) ERC (882929)
Swedish Research Council VR grant numbers 2019-00191 (for the accelerator-based ion-technological centre in tandem accelerator laboratory in Uppsala University, Sweden) and 2021-00357, CAPE BlueSky Research Award 2022, Energy IRC Small Grant award for Knowledge Exchange and Impact from the Higher Education Innovation Fund (HEIF), the Royal Academy of Engineering Chair in Emerging technologies grant number CIET1819_24, the EU-H2020-ERC-ADG grant and EROS grant number 882929, and the U.S. National Science Foundation (DMREF-2323752).