4.6 Article

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

期刊

APPLIED PHYSICS LETTERS
卷 118, 期 11, 页码 -

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AMER INST PHYSICS
DOI: 10.1063/5.0038521

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资金

  1. Sandia National Laboratories (SNL) Laboratory Directed Research and Development
  2. DOE NNSA [DE-NA0003525]
  3. NSF [NNCI-1542159]

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Magnetic tunnel junction in-memory computing devices utilize domain walls for data processing, overcoming experimental limitations through various technological advancements to achieve significant progress.
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 Omega mu m 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.

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