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Elucidation and Optimization of Resistive Random Access Memory Switching Behavior for Advanced Computing Applications

机译:阐述和优化了高级计算应用的电阻式随机存取存储器切换行为

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摘要

RRAM has recently emerged as a strong candidate for non-volatile memory (NVM). Beyond memory applications, RRAM holds promise for use in performing logic functions, mimicking neuromorphic activities, enabling multi-level switching, and as one of the key elements of hardware based encryption or signal processing systems. It has been shown previously that RRAM resistance levels can be changed by adjusting compliance current or voltage level. This characteristic makes RRAM suitable for use in setting the synaptic weight in neuromorphic computing circuits. RRAM is also considered as a key element in hardware encryption systems, to produce unique and reproducible signals. However, a key challenge to implement RRAM in these applications is significant cycle to cycle performance variability. We sought to develop RRAM that can be tuned to different resistance levels gradually, with high reliability, and low variability. To achieve this goal, we focused on elucidating the conduction mechanisms underlying the resistive switching behavior for these devices. Electrical conduction mechanisms were determined by curve fitting I-V data using different current conduction equations. Temperature studies were also performed to corroborate these data. It was found that Schottky barrier height and width modulation was one of the key parameters that could be tuned to achieve different resistance levels, and for switching resistance states, primarily via oxygen vacancy movement. Oxygen exchange layers with different electronegativity were placed between top electrode and the oxide layer of TaOx devices to determine the effect of oxygen vacancy concentrations and gradients in these devices. It was found that devices with OELs with lower electronegativity tend to yield greater separation in the OFF vs. ON state resistance levels. As an extension of this work, TaOx based RRAM with Hf as the OEL was fabricated and could be tuned to different resistance level using pulse width and height modulation, yielding excellent uniformity and reliability. These findings improve our understanding of conduction within TaO x-based RRAM devices, providing a physical basis for switching in these devices. The value of this work lies in the demonstration of devices with excellent performance and demonstrated devices constitute a significant step toward real-world applications.
机译:RRAM最近成为非易失性存储器(NVM)的强大候选者。除了内存应用程序外,RRAM还有望用于执行逻辑功能,模仿神经形态活动,实现多级交换,并作为基于硬件的加密或信号处理系统的关键要素之一。先前已经表明,可以通过调整顺从电流或电压电平来更改RRAM电阻电平。此特性使RRAM适合用于设置神经形态计算电路中的突触权重。 RRAM还被认为是硬件加密系统中的关键元素,可以产生独特且可再现的信号。但是,在这些应用程序中实现RRAM的关键挑战是周期之间的性能差异很大。我们寻求开发可逐步调整到不同电阻水平,具有高可靠性和低可变性的RRAM。为了实现这一目标,我们集中精力阐明了这些器件的电阻切换行为背后的传导机制。通过使用不同的电流传导方程对I-V数据进行曲线拟合来确定导电机理。还进行了温度研究以证实这些数据。发现肖特基势垒高度和宽度调制是可以调节以实现不同电阻水平以及用于切换电阻状态(主要是通过氧空位运动)的关键参数之一。将具有不同电负性的氧交换层置于TaOx器件的顶部电极和氧化层之间,以确定这些器件中氧空位浓度和梯度的影响。发现具有较低电负性的OEL的器件往往会在OFF与ON状态电阻水平之间产生更大的分离。作为这项工作的扩展,制造了以Hf作为OEL的基于TaOx的RRAM,可以使用脉冲宽度和高度调制将其调谐到不同的电阻水平,从而产生出色的均匀性和可靠性。这些发现提高了我们对基于TaO x的RRAM器件内导电性的理解,为在这些器件中进行切换提供了物理基础。这项工作的价值在于对具有出色性能的设备进行演示,并且所演示的设备构成了向实际应用迈出的重要一步。

著录项

  • 作者

    Alamgir, Zahiruddin.;

  • 作者单位

    State University of New York at Albany.;

  • 授予单位 State University of New York at Albany.;
  • 学科 Materials science.;Nanoscience.;Engineering.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 160 p.
  • 总页数 160
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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