Optimizing TiO2/HfO2 Multilayer RRAM for Self-Rectifying Characteristics

Sneak current refers to leakage currents in RRAM crossbar arrays without selector devices, disrupting the accuracy of weighted sum operations in neuromorphic systems, leading to performance degradation and increased power consumption. This study presents a bilayer RRAM structure with a selector layer designed to suppress sneak current in neuromorphic synapse arrays. By utilizing a TiO<sub>2</sub>/HfO<sub>2</sub> bilayer structure, it is demonstrated that increasing the thickness of TiO<sub>2</sub> and the work function of the top electrode effectively suppresses current under reverse bias compared to single-layer devices. The bilayer structure achieves rectification levels of 10 to 30 times higher than the single-layer configuration, while increasing the work function of the top electrode yields rectification improvements ranging from 10 to 40 times. This approach enhances the accuracy of synaptic weighted sum operations.

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Publication Details

Journal
Micromachines
Published
2025-12-30
DOI
https://doi.org/10.3390/mi17010049
Primary Topic
Advanced Memory and Neural Computing
Type
article
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article

Optimizing TiO2/HfO2 Multilayer RRAM for Self-Rectifying Characteristics

Myung-Hyun Baek, Chan-Hyeok Nam
Micromachines
Advanced Memory and Neural Computing
article

Optimizing TiO2/HfO2 Multilayer RRAM for Self-Rectifying Characteristics

Myung-Hyun Baek, Chan-Hyeok Nam
article en

Abstract

Sneak current refers to leakage currents in RRAM crossbar arrays without selector devices, disrupting the accuracy of weighted sum operations in neuromorphic systems, leading to performance degradation and increased power consumption. This study presents a bilayer RRAM structure with a selector layer designed to suppress sneak current in neuromorphic synapse arrays. By utilizing a TiO<sub>2</sub>/HfO<sub>2</sub> bilayer structure, it is demonstrated that increasing the thickness of TiO<sub>2</sub> and the work function of the top electrode effectively suppresses current under reverse bias compared to single-layer devices. The bilayer structure achieves rectification levels of 10 to 30 times higher than the single-layer configuration, while increasing the work function of the top electrode yields rectification improvements ranging from 10 to 40 times. This approach enhances the accuracy of synaptic weighted sum operations.

MicromachinesVol. 17(1)
Gangneung–Wonju National University (KR)
Affordable and clean energy
Openalex Percentile: Top 41%
Advanced Memory and Neural Computing
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Optimizing TiO2/HfO2 Multilayer RRAM for Self-Rectifying Characteristics — Myung-Hyun Baek, Chan-Hyeok Nam · Micromachines (2025) | TGRS Research Map | TGRS