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.

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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

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article

Electrical Analysis of Atomic Layer Deposited Thin HfO2 and HfO2/Ta2O5-Based Memristive Devices

Andreas Tsiamis, Rahul Ramesh, Spyros Stathopoulos, Sanjay Kumar et al.
14 citations
IEEE Transactions on Electron Devices
Advanced Memory and Neural Computing
10.23
article

Electrical Analysis of Atomic Layer Deposited Thin HfO2 and HfO2/Ta2O5-Based Memristive Devices

Andreas Tsiamis, Rahul Ramesh, Spyros Stathopoulos, Sanjay Kumar, Themis Prodromakis, Deepika Yadav
article en
14 citations

Abstract

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.

IEEE Transactions on Electron DevicesVol. 72(4)
National Microelectronics Institute (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 2%
Advanced Memory and Neural Computing
10.23
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