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Field-free spin-orbit torque perpendicular magnetization switching in ultrathin nanostructures

Engineering and Technology

Field-free spin-orbit torque perpendicular magnetization switching in ultrathin nanostructures

M. Dai and J. Hu

This groundbreaking research by Minyi Dai and Jia-Mian Hu unveils a magnetic-field-free method for spin-orbit torque (SOT) perpendicular magnetization switching in ultrathin nanostructures, keeping the standard SOT-MRAM cell architecture intact. By harnessing lateral geometrical confinement and current-induced SOT, the study paves the way for more efficient magnetic switching technologies.

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~3 min • Beginner • English
Abstract
Magnetic-field-free current-controlled switching of perpendicular magnetization via spin-orbit torque (SOT) is necessary for developing a fast, long data retention, and high-density SOT magnetoresistive random access memory (MRAM). Here, we use both micromagnetic simulations and atomistic spin dynamics (ASD) simulations to demonstrate an approach to field-free SOT perpendicular magnetization switching without requiring any changes in the architecture of a standard SOT-MRAM cell. We show that this field-free switching is enabled by a synergistic effect of lateral geometrical confinement, interfacial Dyzaloshinskii-Moriya interaction (DMI), and current-induced SOT. Both micromagnetic and atomistic understanding of the nucleation and growth kinetics of the reversed domain are established. Notably, atomically resolved spin dynamics at the early stage of nucleation is revealed using ASD simulations. A machine learning model is trained based on ~1000 groups of benchmarked micromagnetic simulation data. This machine learning model can be used to rapidly and accurately identify the nanomagnet size, interfacial DMI strength, and the magnitude of current density required for the field-free switching.
Publisher
npj Computational Materials
Published On
Jun 12, 2020
Authors
Minyi Dai, Jia-Mian Hu
Tags
magnetic-field-free
spin-orbit torque
perpendicular magnetization
Dzyaloshinskii-Moriya interaction
micromagnetic simulation
nanostructures
machine learning
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