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Domain wall-magnetic tunnel junction spin-orbit torque devices and circuits for in-memory computing

机译:域壁 - 磁隧道结自旋轨道扭矩装置和用于内存计算的电路

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摘要

There are pressing problems with traditional computing, especially for accomplishing data-intensive and real-time tasks, that motivate the development of in-memory computing devices to both store information and perform computation. Magnetic tunnel junction memory elements can be used for computation by manipulating a domain wall, a transition region between magnetic domains, but the experimental study of such devices has been limited by high current densities and low tunnel magnetoresistance. Here, we study prototypes of three-terminal domain wall-magnetic tunnel junction in-memory computing devices that can address data processing bottlenecks and resolve these challenges by using perpendicular magnetic anisotropy, spin-orbit torque switching, and an optimized lithography process to produce average device tunnel magnetoresistance TMR = 171% and average resistance-area product RA = 29 Ωμm~2, close to the RA of the unpatterned film. Device initialization variation in switching voltage is shown to be curtailed to 7%-10% by controlling the domain wall initial position, which we show corresponds to 90%-96% accuracy in a domain wall-magnetic tunnel junction full adder simulation. Repeatability of writing and resetting the device is shown. A circuit shows an inverter operation between two devices, showing that a voltage window is large enough, compared to the variation noise, to repeatably operate a domain wall-magnetic tunnel junction circuit. These results make strides in using magnetic tunnel junctions and domain walls for in-memory and neuromorphic computing applications.
机译:传统计算需要强调问题,尤其是为了实现数据密集型和实时任务,这使得内存计算设备的开发到存储信息并执行计算。磁隧道结记忆元件可以通过操纵畴壁,磁畴之间的过渡区域来使用来计算,但是这种装置的实验研究受到高电流密度和低隧道磁阻的限制。在这里,我们研究了三个终端域壁磁隧道结的原型内存计算装置,可以通过使用垂直磁各向异性,旋转轨道扭矩切换和优化的光刻过程来解决数据处理瓶颈并解决这些挑战,以及用于产生平均的优化的光刻过程器件隧道磁阻TMR = 171%和平均电阻区产品RA =29Ωμm〜2,靠近未图形薄膜的RA。通过控制畴壁初始位置,显示开关电压的设备初始化变化通过控制域壁初始位置来缩减为7%-10%,该域壁磁隧道交界处的90%-96%精度。显示了写入和重置设备的可重复性。电路示出了两个设备之间的逆变器操作,示出与变化噪声相比,电压窗口足够大,以可重复操作域壁磁隧道结电路。这些结果在使用磁隧道结和域壁的内存和神经形态计算应用方面进行了进步。

著录项

  • 来源
    《Applied Physics Letters》 |2021年第11期|112401.1-112401.6|共6页
  • 作者单位

    Electrical and Computer Engineering Department University of Texas at Austin Austin Texas 78712 USA;

    Electrical and Computer Engineering Department University of Texas at Austin Austin Texas 78712 USA;

    Electrical and Computer Engineering Department University of Texas at Austin Austin Texas 78712 USA;

    Electrical and Computer Engineering Department University of Texas at Austin Austin Texas 78712 USA;

    Applied Materials Santa Clara California 95054 USA;

    Electrical and Computer Engineering Department University of Texas at Austin Austin Texas 78712 USA;

    Sandia National Laboratories Albuquerque New Mexico 87123 USA;

    Electrical and Computer Engineering Department University of Texas at Dallas Richardson Texas 75080 USA;

    Sandia National Laboratories Albuquerque New Mexico 87123 USA;

    Sandia National Laboratories Albuquerque New Mexico 87123 USA;

    Electrical and Computer Engineering Department University of Texas at Austin Austin Texas 78712 USA;

  • 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
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