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Optimization of the position of TaOx:N-based barrier layer in TaOx RRAM devices

Authors :
Pramod Ravindra
Maximilian Liehr
Rajas Mathkari
Karsten Beckmann
Natalya Tokranova
Nathaniel Cady
Source :
Frontiers in Materials, Vol 11 (2024)
Publication Year :
2024
Publisher :
Frontiers Media S.A., 2024.

Abstract

Resistive Random-Access Memory (RRAM) presents a transformative technology for diverse computing and artificial intelligence applications. However, variability in the high resistance state (HRS) has proved to be a challenge, impeding its widespread adoption. This study focuses on optimizing TaOx-based RRAMs by strategically placing a nitrogen-doped TaOx barrier-layer (BL) to mitigate variability in the HRS. Through comprehensive electrical characterization and measurements, we uncover the critical influence of BL positioning on HRS variability and identify the optimal location of the BL to achieve a 2x lowering of HRS variability as well as an expanded range of operating voltages. Incremental reset pulse amplitude measurements show that the TaOx:N maintains a low HRS variability even at higher operating voltages when the position of the BL is optimized. Our findings offer insights into stable and reliable RRAM operation, highlighting the potential of the proposed BL to enhance the functionality of TaOx-based RRAMs and elevate overall device performance.

Details

Language :
English
ISSN :
22968016
Volume :
11
Database :
Directory of Open Access Journals
Journal :
Frontiers in Materials
Publication Type :
Academic Journal
Accession number :
edsdoj.7a5c561e3347b983fe0b0272fc567d
Document Type :
article
Full Text :
https://doi.org/10.3389/fmats.2024.1343076