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1-s2.0-S1005030225000386-main (1).pdf

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Figshare2025-03-18 更新2026-04-08 收录
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https://figshare.com/articles/dataset/1-s2_0-S1005030225000386-main_1_pdf/28612526/1
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Neuromorphic computing devices leveraging HfO<sub>2</sub> and ZrO<sub>2</sub> materials have recently garnered significant attention due to their potential for brain-inspired computing systems. In this study, we present a novel trilayer Pt/HfO<sub>2</sub>/ZrO<sub>2-</sub><sub><em>x</em></sub>/HfO<sub>2</sub>/TiN memristor, engineered with a ZrO<sub>2-</sub><sub><em>x</em></sub> oxygen vacancy reservoir (OVR) layer fabricated via radio frequency (RF) sputtering under controlled oxygen ambient. The incorporation of the ZrO<sub>2-</sub><sub><em>x</em></sub> OVR layer enables enhanced resistive switching characteristics, including a high ON/OFF ratio (∼8000), excellent uniformity, robust data retention (&gt;10<sup>5</sup> s), and multilevel storage capabilities. Furthermore, the memristor demonstrates superior synaptic plasticity with linear long-term potentiation (LTP) and depression (LTD), achieving low non-linearity values of 1.36 (LTP) and 0.66 (LTD), and a recognition accuracy of 95.3% in an MNIST dataset simulation. The unique properties of the ZrO<sub>2-</sub><sub><em>x</em></sub> layer, particularly its ability to act as a dynamic oxygen vacancy reservoir, significantly enhance synaptic performance by stabilizing oxygen vacancy migration. These findings establish the OVR-trilayer memristor as a promising candidate for future neuromorphic computing and high-performance memory applications.
提供机构:
Boynazarov, Turgun
创建时间:
2025-03-18
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