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Understanding tunneling electroresistance effect through potential profile in Pt/Hf_(0.5)Zr_(0.5)O_2/TiN ferroelectric tunnel junction memory

机译:了解Pt / HF_(0.5)Zr_(0.5)O_2 / TIN铁电隧道结记忆的潜在曲线隧道电气探测效果

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摘要

Hafnia ferroelectric materials have gained prominence as promising materials for advanced memory applications due to their high scalability and full-complementary metal oxide semiconductor compatibility. In this paper, we present a comprehensive study on the electrical properties of Pt/Hf0.5Zr0.5O2/TiN asymmetric ferroelectric tunnel junction (FTJ) devices. The ferroelectric behavior of 4- and 5-nm Hf0.5Zr0.5O2 (HZO) thin films was confirmed by using piezoresponse force microscopy and conductive-atomic force microscopy. The typical current-voltage characteristics of the FTJ devices with two resistance states due to the tunneling electroresistance (TER) effect have been analyzed using a direct tunneling model based on the Wentzel-Kramers-Brillouin approximation. Further, we have proposed a method to extract the effective mass of the HZO thin film by numerical analysis using the MOS leakage current model. Finally, a dependence of the TER on the HZO thickness is analyzed to realize a high TER ratio.
机译:由于其高可扩展性和全互补金属氧化物半导体相容性,Hafnia铁电材料作为高级存储器应用的有希望的材料。在本文中,我们对Pt / HF0.5ZR0.5O2 / TIN不对称铁电隧道结(FTJ)器件的电气性能进行了综合研究。通过使用压电响应力显微镜和导电原子力显微镜确认4-和5-NM HF0.5ZR0.5O2(HZO)薄膜的铁电行为。使用基于Wentzel-Kramers-Brillouin近似的直接隧道模型分析了由于隧道电阻(TER)效应具有两个电阻状态的FTJ器件的典型电流 - 电压特性。此外,我们提出了一种通过使用MOS漏电流模型通过数值分析提取HZO薄膜的有效质量的方法。最后,分析了TER对HZO厚度的依赖性以实现高三倍的比率。

著录项

  • 来源
    《Applied Physics Letters》 |2019年第15期|153502.1-153502.5|共5页
  • 作者单位

    Korea Polytech Univ Dept Nanoopt Engn Shihung 15073 South Korea;

    Korea Polytech Univ Dept Nanoopt Engn Shihung 15073 South Korea;

    Korea Polytech Univ Dept Nanoopt Engn Shihung 15073 South Korea;

    Hanyang Univ Dept Mat Sci & Chem Engn Ansan 15588 South Korea;

    Korea Polytech Univ Dept Nanoopt Engn Shihung 15073 South Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 22:17:49

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