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.
Authors
- Duygu Kuzum (ORCID: https://orcid.org/0000-0002-2125-1285)
- Y Zhang (ORCID: https://orcid.org/0009-0000-7181-1781)
- Jaeseoung Park (ORCID: https://orcid.org/0000-0002-7680-9709)
- Ertugrul Cubukcu (ORCID: https://orcid.org/0000-0003-2496-0156)
- Ashwani Kumar (ORCID: https://orcid.org/0000-0002-0272-2061)
- Yucheng Zhou
- Seonghyun Kim (ORCID: https://orcid.org/0000-0001-8080-8963)
- Yue Zhou (ORCID: https://orcid.org/0000-0001-7735-549X)
Institutions
- SK Group (United States) (US)
- University of California San Diego (US)
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
Funders
- National Science Foundation
- National Institutes of Health
- University of California, San Diego
- Office of Naval Research
- Division of Electrical, Communications and Cyber Systems