Theory of superdiffusive spin transport in noncollinear magnetic multilayers

  • Pavel Baláž*
  • , Maciej Zwierzycki
  • , Francesco Cosco
  • , Karel Carva
  • , Pablo Maldonado
  • , Peter M. Oppeneer
  • *Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)

Abstract

Ultrafast demagnetization induced by femtosecond laser pulses in thin metallic layers is caused by the outflow of spin-polarized hot-electron currents describable by the superdiffusive transport model. These laser-generated spin currents can cross the interface into another magnetic layer and give rise to magnetization dynamics in magnetic spin valves with noncollinear magnetizations. To describe ultrafast transport and spin dynamics in such nanostructures, we develop here the superdiffusive theory for general noncollinear magnetic multilayers. Specifically, we introduce an Al/Ni/Ru/Fe/Ru multilayer system with noncollinear Ni and Fe magnetic moments and analyze how the ultrafast demagnetization and spin-transfer torque depend on the noncollinearity. We employ ab initio calculations to compute the spin- and energy-dependent transmissions of hot electrons at the interfaces of the multilayer. Taking into account multiple electron scattering at interfaces and spin mixing in the spacer layer, we find that the laser-induced demagnetization of the Ni layer and the magnetization change of the Fe layer strongly depend on the angle between their magnetizations. Similarly, the spin-transfer torques on the Ni and Fe layers and the total spin momentum absorbed in the Ni and Fe layer are found to vary markedly with the amount of noncollinearity. These results suggest that by changing the amount of noncollinearity in magnetic multilayers, one can efficiently control the hot-electron spin transport, which may open a way toward achieving fast, laser-driven spintronic devices.
Original languageEnglish
Article number174418
JournalPhysical Review B
Volume107
Issue number17
DOIs
Publication statusPublished - 12 May 2023
MoE publication typeA1 Journal article-refereed

Funding

This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90140), by the Czech Science Foundation (Grant No. 19-13659S), by the Swedish Research Council (VR), the Knut and Alice Wallenberg Foundation (Grant No. 2022.0079), and by The Ministry of Education, Youth and Sports from the Large Infrastructures for Research, Experimental Development and Innovations project “e-Infrastructure CZ–LM2018140.” This work has furthermore been funded by the European Union's Horizon2020 Research and Innovation Programme under FET-OPEN Grant Agreement No. 863155 (s-Nebula). We acknowledge computational resources provided by the Swedish National Infrastructure for Computing (SNIC), partially funded by the Swedish Research Council through Grant Agreement No. 2018-05973.

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