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Magnetisation switching dynamics induced by combination of spin transfer torque and spin orbit torque

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JournalScientific reports
DateAccepted/In press - 15 Feb 2022
DatePublished (current) - 1 Mar 2022
Issue number1
Volume12
Number of pages14
Original languageEnglish

Abstract

We present a theoretical investigation of the magnetisation reversal process in CoFeB-based magnetic tunnel junctions (MTJs). We perform atomistic spin simulations of magnetisation dynamics induced by combination of spin orbit torque (SOT) and spin transfer torque (STT). Within the model the effect of SOT is introduced as a Slonczewski formalism, whereas the effect of STT is included via a spin accumulation model. We investigate a system of CoFeB/MgO/CoFeB coupled with a heavy metal layer where the charge current is injected into the plane of the heavy metal meanwhile the other charge current flows perpendicular into the MTJ structure. Our results reveal that SOT can assist the precessional switching induced by spin polarised current within a certain range of injected current densities yielding an efficient and fast reversal on the sub-nanosecond timescale. The combination of STT and SOT gives a promising pathway to improve high performance CoFeB-based devices with high speed and low power consumption.

Bibliographical note

© The Author(s) 2022

Funding Information:
P.C. and J.C. gratefully acknowledge the financial support from Thailand Science Research and Innovation (TSRI). This project was undertaken on the Viking Cluster, which is a high performance compute facility provided by the University of York. We are grateful for computational support from the University of York High Performance Computing service, Viking and the Research Computing team.

Funding Information:
P.C. and J.C. gratefully acknowledge the financial support from Thailand Science Research and Innovation (TSRI). This project was undertaken on the Viking Cluster, which is a high performance compute facility provided by the University of York. We are grateful for computational support from the University of York High Performance Computing service, Viking and the Research Computing team.

Publisher Copyright:
© 2022, The Author(s).

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