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.

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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

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article

Enhancing RRAM Reliability: Exploring the Effects of Al Doping on HfO 2 -Based Devices

Andrea Baroni, Eduardo Pérez, Keerthi Dorai Swamy Reddy, Daniele Ielmini et al.
3 citations
IEEE Transactions on Device and Materials Reliability
Advanced Memory and Neural Computing
2.19
article

Enhancing RRAM Reliability: Exploring the Effects of Al Doping on HfO 2 -Based Devices

Andrea Baroni, Eduardo Pérez, Keerthi Dorai Swamy Reddy, Daniele Ielmini, Stefan Pechmann, Christian Wenger, Cristian Zambelli
article en
3 citations

Abstract

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.

IEEE Transactions on Device and Materials ReliabilityVol. 25(3)
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)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 12%
Advanced Memory and Neural Computing
2.19
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