Investigation of Electron Transport Layer Influence on Asymmetric Bipolar Switching in Transparent BST-Based RRAM Devices

Ba<sub>0.6</sub>Sr<sub>0.4</sub>TiO<sub>3</sub> (BST) thin films were deposited on ITO substrates via rf magnetron sputtering, followed by structural and morphological characterization using XRD and FE-SEM. Metal-insulator-metal (MIM) RRAM devices were fabricated by depositing Al top electrodes, and their electrical properties were examined through <i>I-V</i> measurements. The optimized BST films deposited at 40% oxygen concentration exhibited stable resistive switching, with an operating voltage of 3 V, an on/off ratio of 1, and a leakage current of 10<sup>-8</sup> A. After rapid thermal annealing at 500 °C, the on/off ratio improved to 2 but leakage increased to 10<sup>-3</sup> A. Incorporating an electron transport layer (ETL) effectively suppressed the leakage current to 10<sup>-5</sup> A while maintaining the on/off ratio at 2. Moreover, a transition from bipolar to unipolar switching was observed at higher oxygen concentration (60%). These results highlight the role of ETLs in reducing leakage and stabilizing switching characteristics, providing guidance for the development of transparent, low-power, and high-reliability BST-based RRAM devices. This study aims to investigate the role of Ba<sub>0.6</sub>Sr<sub>0.4</sub>TiO<sub>3</sub> (BST) ferroelectric oxide as a functional switching layer in resistive random-access memory (RRAM) and to evaluate how interface engineering using an electron transport layer (ETL) can improve resistive switching stability, leakage suppression, and device reliability.

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Publication Details

Journal
Micromachines
Published
2025-11-20
DOI
https://doi.org/10.3390/mi16111302
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73

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article

Investigation of Electron Transport Layer Influence on Asymmetric Bipolar Switching in Transparent BST-Based RRAM Devices

Chien-Min Cheng, Kai-Huang Chen, Yao‐Chin Wang, Ming‐Cheng Kao et al.
1 citations
Micromachines
Advanced Memory and Neural Computing
0.73
article

Investigation of Electron Transport Layer Influence on Asymmetric Bipolar Switching in Transparent BST-Based RRAM Devices

Chien-Min Cheng, Kai-Huang Chen, Yao‐Chin Wang, Ming‐Cheng Kao, Hsin-Chin Chen, Weimin Xu
article en
1 citations

Abstract

Ba<sub>0.6</sub>Sr<sub>0.4</sub>TiO<sub>3</sub> (BST) thin films were deposited on ITO substrates via rf magnetron sputtering, followed by structural and morphological characterization using XRD and FE-SEM. Metal-insulator-metal (MIM) RRAM devices were fabricated by depositing Al top electrodes, and their electrical properties were examined through <i>I-V</i> measurements. The optimized BST films deposited at 40% oxygen concentration exhibited stable resistive switching, with an operating voltage of 3 V, an on/off ratio of 1, and a leakage current of 10<sup>-8</sup> A. After rapid thermal annealing at 500 °C, the on/off ratio improved to 2 but leakage increased to 10<sup>-3</sup> A. Incorporating an electron transport layer (ETL) effectively suppressed the leakage current to 10<sup>-5</sup> A while maintaining the on/off ratio at 2. Moreover, a transition from bipolar to unipolar switching was observed at higher oxygen concentration (60%). These results highlight the role of ETLs in reducing leakage and stabilizing switching characteristics, providing guidance for the development of transparent, low-power, and high-reliability BST-based RRAM devices. This study aims to investigate the role of Ba<sub>0.6</sub>Sr<sub>0.4</sub>TiO<sub>3</sub> (BST) ferroelectric oxide as a functional switching layer in resistive random-access memory (RRAM) and to evaluate how interface engineering using an electron transport layer (ETL) can improve resistive switching stability, leakage suppression, and device reliability.

MicromachinesVol. 16(11)
Chaoyang University of Technology (TW), Cheng Shiu University (TW), Southern Taiwan University of Science and Technology (TW)
National Science Council, National Science and Technology Council
Openalex Percentile: Top 21%
Advanced Memory and Neural Computing
0.73
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