TY - JOUR
T1 - Domain wall-magnetic tunnel junction spin-orbit torque devices and circuits for in-memory computing
AU - Alamdar, Mahshid
AU - Leonard, Thomas
AU - Cui, Can
AU - Rimal, Bishweshwor P.
AU - Xue, Lin
AU - Akinola, Otitoaleke G.
AU - Patrick Xiao, T.
AU - Friedman, Joseph S.
AU - Bennett, Christopher H.
AU - Marinella, Matthew J.
AU - Incorvia, Jean Anne C.
N1 - Publisher Copyright:
© 2021 Author(s).
PY - 2021/3/15
Y1 - 2021/3/15
N2 - 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 ω μ 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.
AB - 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 ω μ 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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U2 - 10.1063/5.0038521
DO - 10.1063/5.0038521
M3 - Article
AN - SCOPUS:85102836889
SN - 0003-6951
VL - 118
JO - Applied Physics Letters
JF - Applied Physics Letters
IS - 11
M1 - 1124011
ER -