Density Functional Theory Insights into Conduction Mechanisms in Perovskite-Type RCoO3 Nanofibers for Future Resistive Random-Access Memory Applications

In the era of artificial intelligence and Internet of Things, data storage has an important impact on the future development direction of data analysis. Resistive random-access memory (RRAM) devices are the research hotspot in the era of artificial intelligence and Internet of Things. Perovskite-type rare-earth metal oxides are common functional materials and considered promising candidates for RRAM devices because their interesting electronic properties depend on the interaction between oxygen ions, transition metals, and rare-earth metals. LaCoO<sub>3</sub>, NdCoO<sub>3</sub>, and SmCoO<sub>3</sub> are typical rare-earth cobaltates (RCoO<sub>3</sub>). These perovskite materials were fabricated by electrospinning and the calcination method. The aim of this study was to investigate the resistive switching effect in the RCoO<sub>3</sub> structure. The oxygen vacancies in RCoO<sub>3</sub> are helpful to form conductive filaments, which dominates the resistance transition mechanism of Pt/RCoO<sub>3</sub>/Pt. The electronic properties of RCoO<sub>3</sub> were investigated, including the barrier height and the shape of the conductive filaments. This study confirmed the potential application of LaCoO<sub>3</sub>, NdCoO<sub>3</sub>, and SmCoO<sub>3</sub> in memory storage devices.

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Publication Details

Journal
Molecules
Published
2024-12-23
DOI
https://doi.org/10.3390/molecules29246056
Citations
3
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.63

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article

Density Functional Theory Insights into Conduction Mechanisms in Perovskite-Type RCoO3 Nanofibers for Future Resistive Random-Access Memory Applications

Quanli Hu, Jinghai Liu, Bin Yue, Chao Song et al.
3 citations
Molecules
Advanced Memory and Neural Computing
0.63
article

Density Functional Theory Insights into Conduction Mechanisms in Perovskite-Type RCoO3 Nanofibers for Future Resistive Random-Access Memory Applications

Quanli Hu, Jinghai Liu, Bin Yue, Chao Song, Yin Wang, Hanqiong Luo
article en
3 citations

Abstract

In the era of artificial intelligence and Internet of Things, data storage has an important impact on the future development direction of data analysis. Resistive random-access memory (RRAM) devices are the research hotspot in the era of artificial intelligence and Internet of Things. Perovskite-type rare-earth metal oxides are common functional materials and considered promising candidates for RRAM devices because their interesting electronic properties depend on the interaction between oxygen ions, transition metals, and rare-earth metals. LaCoO<sub>3</sub>, NdCoO<sub>3</sub>, and SmCoO<sub>3</sub> are typical rare-earth cobaltates (RCoO<sub>3</sub>). These perovskite materials were fabricated by electrospinning and the calcination method. The aim of this study was to investigate the resistive switching effect in the RCoO<sub>3</sub> structure. The oxygen vacancies in RCoO<sub>3</sub> are helpful to form conductive filaments, which dominates the resistance transition mechanism of Pt/RCoO<sub>3</sub>/Pt. The electronic properties of RCoO<sub>3</sub> were investigated, including the barrier height and the shape of the conductive filaments. This study confirmed the potential application of LaCoO<sub>3</sub>, NdCoO<sub>3</sub>, and SmCoO<sub>3</sub> in memory storage devices.

MoleculesVol. 29(24)
Tonghua Normal University (CN)
Strong, National Natural Science Foundation of China, Natural Science Foundation of Inner Mongolia
Openalex Percentile: Top 30%
Advanced Memory and Neural Computing
0.63
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Density Functional Theory Insights into Conduction Mechanisms in Perovskite-Type RCoO3 Nanofibers for Future Resistive Random-Access Memory Applications — Quanli Hu, Jinghai Liu, et al. · Molecules (2024) | TGRS Research Map | TGRS