Density Functional Theory Insights into Conduction Mechanisms in Perovskite-Type RCoO(3) Nanofibers for Future Resistive Random-Access Memory Applications

利用密度泛函理论深入研究钙钛矿型RCoO(3)纳米纤维的导电机制,以期应用于未来的电阻式随机存取存储器。

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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(3), NdCoO(3), and SmCoO(3) are typical rare-earth cobaltates (RCoO(3)). 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(3) structure. The oxygen vacancies in RCoO(3) are helpful to form conductive filaments, which dominates the resistance transition mechanism of Pt/RCoO(3)/Pt. The electronic properties of RCoO(3) were investigated, including the barrier height and the shape of the conductive filaments. This study confirmed the potential application of LaCoO(3), NdCoO(3), and SmCoO(3) in memory storage devices.

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