Resistive switching effect of HfO2/Nb:SrTiO3 under the influence of nanodefects and varying atmospheric conditions

Single-crystal Nb:SrTiO3 (NSTO) exhibits unique properties of high stability, excellent electrical conductivity, and atomic-level surface roughness, which makes it an important material for constructing oxide electrodes. In this work, an NSTO single-crystal substrate was irradiated with gallium ions in an ion beam system to introduce nanoscale surface defects, and weakly crystalline HfO2 films were deposited on the substrate to form HfO2/NSTO structures. The resistive switching (RS) effect of the unirradiated and irradiated HfO2/NSTO structures was studied. It was found that the HfO2/NSTO structures, both irradiated and nonirradiated, exhibit obvious RS characteristics. The presence of nanoscale defects on the surface of irradiated NSTO causes a local electric field distortion, resulting in the HfO2/NSTO structure exhibiting a lower set voltage and a superior RS performance compared to the nonirradiated HfO2/NSTO structure. Additionally, the RS characteristics of the samples under different atmospheric conditions were also investigated. A decrease in oxygen pressure facilitates the formation of oxygen vacancies, thereby reducing the set voltage and promoting the RS effect. However, excessively low oxygen pressure can lead to a shortage of oxygen ions, resulting in a lower resistance ratio between the high resistive and low resistive states. The samples obtained under oxygen pressures of 102 and 103 Pa exhibited optimal RS performance.

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Publication Details

Journal
Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena
Published
2025-03-01
DOI
https://doi.org/10.1116/6.0004231
Primary Topic
Advanced Memory and Neural Computing
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article
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article

Resistive switching effect of HfO2/Nb:SrTiO3 under the influence of nanodefects and varying atmospheric conditions

Jianbo Liu, Dongqing Liu, Chengang Dong, Xiaowei Han
Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena
Advanced Memory and Neural Computing
article

Resistive switching effect of HfO2/Nb:SrTiO3 under the influence of nanodefects and varying atmospheric conditions

Jianbo Liu, Dongqing Liu, Chengang Dong, Xiaowei Han
article en

Abstract

Single-crystal Nb:SrTiO3 (NSTO) exhibits unique properties of high stability, excellent electrical conductivity, and atomic-level surface roughness, which makes it an important material for constructing oxide electrodes. In this work, an NSTO single-crystal substrate was irradiated with gallium ions in an ion beam system to introduce nanoscale surface defects, and weakly crystalline HfO2 films were deposited on the substrate to form HfO2/NSTO structures. The resistive switching (RS) effect of the unirradiated and irradiated HfO2/NSTO structures was studied. It was found that the HfO2/NSTO structures, both irradiated and nonirradiated, exhibit obvious RS characteristics. The presence of nanoscale defects on the surface of irradiated NSTO causes a local electric field distortion, resulting in the HfO2/NSTO structure exhibiting a lower set voltage and a superior RS performance compared to the nonirradiated HfO2/NSTO structure. Additionally, the RS characteristics of the samples under different atmospheric conditions were also investigated. A decrease in oxygen pressure facilitates the formation of oxygen vacancies, thereby reducing the set voltage and promoting the RS effect. However, excessively low oxygen pressure can lead to a shortage of oxygen ions, resulting in a lower resistance ratio between the high resistive and low resistive states. The samples obtained under oxygen pressures of 102 and 103 Pa exhibited optimal RS performance.

Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and PhenomenaVol. 43(2)
Weinan Normal University (CN), Xi’an University (CN), Division of Materials Science and Engineering (AU), Xi'an University of Technology (CN)
Openalex Percentile: Top 96%
Advanced Memory and Neural Computing
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