Electrical Analysis of Atomic Layer Deposited Thin HfO<sub>2</sub> and HfO<sub>2</sub>/Ta<sub>2</sub>O<sub>5</sub>-Based Memristive Devices
Here, we report the detailed fabrication and electrical analysis of atomic layer deposited single (i.e., HfO2) and bilayer (i.e., HfO2/Ta2O5)-based memristive devices. The bilayer devices show stable retention properties <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\gt 10^{{3}}$ </tex-math></inline-formula> s with an improved <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">on</small>/<sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">off</small> ratio. Moreover, the bilayer devices also exhibit higher change in the device resistance (25%–30%) as compared to resistance change (~12%) in single-layer devices under the same electrical programming scheme. The least values of coefficient of variability (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${C} _{\text {V}}$ </tex-math></inline-formula>) in cycle-to-cycle (C2C) in the device resistance states are 0.19% low-resistance state (LRS) and 0.28% high-resistance state (HRS) for single-layer device, while in the case of bilayer devices, these values are 1.10% (LRS) and 0.29% (HRS). Furthermore, the impedance spectroscopy (EIS) analysis reveals that the switching mechanism is more dominant due to the change in the device resistance rather than the device capacitance. Therefore, this work opens a new way to further explore the ac analysis of memristive devices and their potential applications in various fields.
Authors
- Andreas Tsiamis (ORCID: https://orcid.org/0000-0002-0103-9447)
- Rahul Ramesh (ORCID: https://orcid.org/0000-0002-5346-6264)
- Spyros Stathopoulos (ORCID: https://orcid.org/0000-0002-0833-6209)
- Sanjay Kumar (ORCID: https://orcid.org/0000-0001-5382-2006)
- Themis Prodromakis (ORCID: https://orcid.org/0000-0002-6267-6909)
- Deepika Yadav
Institutions
- National Microelectronics Institute (GB)
Publication Details
- Journal
- IEEE Transactions on Electron Devices
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/ted.2025.3539256
- Citations
- 14
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 10.23
Funders
- Engineering and Physical Sciences Research Council