Modeling of Conduction Mechanism in Filament-Free Multilayer Bulk RRAM

Filament-free bulk RRAM (resistive-switching random access memory) devices have been proposed to offer multi-level conductance states with less variations and noise and forming-free operation for neuromorphic computing applications. Understanding conduction mechanism and switching dynamics of filament-free bulk RRAM devices is crucial to optimize device characteristics and to build large-scale arrays for compute in memory and neuromorphic computing applications. Here, we first analyze switching characteristics of bulk RRAM by temperature dependent I-V measurements. We then present a quantitative physical model describing the conduction across trilayer stack by a series combination of multiple conduction mechanisms across each layer. Using this model and fitting it to the experimental characteristics of filament-free bulk RRAM devices, we investigate the origin of bulk switching in trilayer stacks. We demonstrate that our model can be used as a guide to design bulk switching RRAM devices from multilayer stacks of metal oxides.

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Publication Details

Journal
IEEE Transactions on Electron Devices
Published
2025-01-10
DOI
https://doi.org/10.1109/ted.2024.3521953
Citations
3
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.19

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article

Modeling of Conduction Mechanism in Filament-Free Multilayer Bulk RRAM

Duygu Kuzum, Y Zhang, Jaeseoung Park, Ertugrul Cubukcu et al.
3 citations
IEEE Transactions on Electron Devices
Advanced Memory and Neural Computing
2.19
article

Modeling of Conduction Mechanism in Filament-Free Multilayer Bulk RRAM

Duygu Kuzum, Y Zhang, Jaeseoung Park, Ertugrul Cubukcu, Ashwani Kumar, Yucheng Zhou, Seonghyun Kim, Yue Zhou
article en
3 citations

Abstract

Filament-free bulk RRAM (resistive-switching random access memory) devices have been proposed to offer multi-level conductance states with less variations and noise and forming-free operation for neuromorphic computing applications. Understanding conduction mechanism and switching dynamics of filament-free bulk RRAM devices is crucial to optimize device characteristics and to build large-scale arrays for compute in memory and neuromorphic computing applications. Here, we first analyze switching characteristics of bulk RRAM by temperature dependent I-V measurements. We then present a quantitative physical model describing the conduction across trilayer stack by a series combination of multiple conduction mechanisms across each layer. Using this model and fitting it to the experimental characteristics of filament-free bulk RRAM devices, we investigate the origin of bulk switching in trilayer stacks. We demonstrate that our model can be used as a guide to design bulk switching RRAM devices from multilayer stacks of metal oxides.

IEEE Transactions on Electron DevicesVol. 72(2)
SK Group (United States) (US), University of California San Diego (US)
National Science Foundation, National Institutes of Health, University of California, San Diego, Office of Naval Research, Division of Electrical, Communications and Cyber Systems
Openalex Percentile: Top 14%
Advanced Memory and Neural Computing
2.19
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Modeling of Conduction Mechanism in Filament-Free Multilayer Bulk RRAM — Duygu Kuzum, Y Zhang, et al. · IEEE Transactions on Electron Devices (2025) | TGRS Research Map | TGRS