Enhancing RRAM Reliability: Exploring the Effects of Al Doping on HfO <sub>2</sub> -Based Devices
This study provides a comprehensive evaluation of RRAM devices based on HfO2 and Al-doped HfO2 insulators, focusing on critical performance metrics, including Forming yield, Post-Programming Stability (PPS), Fast Drift, Endurance, and Retention at elevated temperatures (125 ∘C). Aluminum doping significantly enhances device reliability and stability, improving Forming yield, reducing current drift during programming and Retention tests, and minimizing variability during Endurance cycling. While Al5%:HfO2 achieves most of the observed benefits compared to pure HfO2, Al7%:HfO2 offers incremental advantages for scenarios requiring extreme reliability. These findings position Al-doped HfO2 devices as a promising solution for RRAM-based systems in memory and neuromorphic computing, highlighting the potential trade-off between performance gains and increased fabrication complexity. This work underlines the importance of material engineering for optimizing RRAM devices in application-specific contexts.
Authors
- Andrea Baroni (ORCID: https://orcid.org/0000-0002-5205-0398)
- Eduardo Pérez (ORCID: https://orcid.org/0000-0001-7545-9420)
- Keerthi Dorai Swamy Reddy (ORCID: https://orcid.org/0000-0001-5260-7929)
- Daniele Ielmini (ORCID: https://orcid.org/0000-0002-1853-1614)
- Stefan Pechmann (ORCID: https://orcid.org/0000-0001-6890-3378)
- Christian Wenger (ORCID: https://orcid.org/0000-0003-3698-2635)
- Cristian Zambelli (ORCID: https://orcid.org/0000-0001-8755-0504)
Institutions
- University of Ferrara (IT)
- Technical University of Munich (DE)
- Leibniz Institute for High Performance Microelectronics (DE)
- Politecnico di Milano (IT)
- Leibniz Institute for Neurobiology (DE)
Publication Details
- Journal
- IEEE Transactions on Device and Materials Reliability
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1109/tdmr.2025.3581061
- Citations
- 3
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 2.19
Funders
- Deutsche Forschungsgemeinschaft