Effective modeling of magnitude-fluctuated magnetization dynamics: Dynamic precursor effect in magnets

Yu Wang, Jie Wang, Takayuki Kitamura, Hiroyuki Hirakata, and Takahiro Shimada
Phys. Rev. B 106, 094423 – Published 20 September 2022

Abstract

Effective modeling of magnetization dynamics is key to understanding the nature of exotic magnetic structures and behaviors such as magnetic skyrmions and spin waves. Although the modeling of magnitude variation of magnetizations is crucial for magnets at finite temperatures (especially near the Curie temperature with the precursor effect), it is restrained in common micromagnetic simulations. Here, we propose an effective methodology for modeling the magnitude-fluctuated magnetization dynamics based on Ginzburg-Landau theory, which includes both the precession motion and adjustable magnitude of magnetizations simultaneously. Our model includes the intrinsic synergy of precession motion and adjustable magnitude of magnetizations, i.e., dynamic precursor effect. Therefore, in this paper, we provide an advanced simulation methodology and introduce an intrinsic dynamic modulation in magnetic system, which is anticipated to be a starting point for the future study of the dynamics of magnetization, magnetic domains, and topologies in magnets.

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  • Received 9 December 2021
  • Revised 8 September 2022
  • Accepted 9 September 2022

DOI:https://doi.org/10.1103/PhysRevB.106.094423

©2022 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Yu Wang1,*, Jie Wang2,3, Takayuki Kitamura1, Hiroyuki Hirakata1, and Takahiro Shimada1

  • 1Department of Mechanical Engineering and Science, Kyoto University, Nishikyo-ku, Kyoto 615-8540, Japan
  • 2Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China
  • 3Zhejiang Laboratory, Hangzhou 311100, China

  • *wang.yu.51p@st.kyoto-u.ac.jp

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Issue

Vol. 106, Iss. 9 — 1 September 2022

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