All-optical Helicity-Independent Switching State Diagram in Gd-Fe-Co Alloys

Jiaqi Wei, Boyu Zhang, Michel Hehn, Wei Zhang, Gregory Malinowski, Yong Xu, Weisheng Zhao, and Stéphane Mangin
Phys. Rev. Applied 15, 054065 – Published 28 May 2021
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Abstract

Ultrafast magnetization switching induced by a single femtosecond laser pulse, under no applied magnetic field has attracted a lot of attention in the last 10 years because of its high potential for low-energy and ultrafast memory applications. Single-pulse helicity-independent switching has mostly been demonstrated for Gd-based materials. It is now necessary to optimize the pulse duration and the energy needed to switch a Gd-Fe-Co magnet depending on the alloy thickness and composition. Here we experimentally report state diagrams showing the magnetic state obtained after one single pulse depending on the laser pulse duration and fluence for various Gd-Fe-Co thin films with different compositions and thicknesses. We demonstrate that these state diagrams share similar characteristics: the fluence window for switching narrows for longer pulse duration and for the considered pulse-duration range the critical fluence for single-pulse switching increases linearly as a function of the pulse duration while the critical fluence required for creating a multidomain state remains almost constant. Calculations based on the atomistic spin model qualitatively reproduce the experimental state diagrams and their evolution. By studying the effect of the composition and the thickness on the state diagram, we demonstrate that the best energy efficiency and the longest pulse duration for switching are obtained for composition around the magnetic compensation.

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  • Received 28 January 2021
  • Accepted 16 April 2021

DOI:https://doi.org/10.1103/PhysRevApplied.15.054065

© 2021 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Jiaqi Wei1,2,‡, Boyu Zhang1,2,‡, Michel Hehn2, Wei Zhang2, Gregory Malinowski2, Yong Xu1, Weisheng Zhao1,*, and Stéphane Mangin2,†

  • 1Fert Beijing Institute, Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), School of Integrated Circuit Science and Engineering, Beihang University, Beijing 100191, China
  • 2Université de Lorraine, CNRS, IJL, F-54000 Nancy, France

  • *weisheng.zhao@buaa.edu.cn
  • stephane.mangin@univ-lorraine.fr
  • These authors contributed equally to this work.

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Vol. 15, Iss. 5 — May 2021

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