Proposal of a micromagnetic standard problem for ferromagnetic resonance simulations

Baker, Alexander A.; Beg, Marijan; Ashton, G.; Albert, Maximilian; Chernyshenko, Dmitri; Wang, Weiwei; Zhang, Shilei; Bisotti, Marc Antonio; Franchin, Matteo; Hu, Chun Lian; Stamps, R. L.; Hesjedal, T.; Fangohr, Hans

doi:10.1016/j.jmmm.2016.08.009

Cited by 60 publications

(25 citation statements)

References 21 publications

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“…Next, we computationally apply a 5 Oe magnetic pulse, which excites spin precession, and monitor the spatially and temporally resolved magnetization dynamics (the ring-down method). 36 By taking the discrete Fourier transform at each pixel, we find the resonance frequencies and corresponding mode profiles as a function of magnetic field. From these data, we construct a power spectral density plot as shown in Fig.…”

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confidence: 99%

Topological spin dynamics in cubic FeGe near room temperature

Turgut

Stolt

Jin

et al. 2017

Journal of Applied Physics

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Understanding spin-wave dynamics in chiral magnets is a key step for the development of highspeed, spin-wave based spintronic devices that take advantage of chiral and topological spin textures for their operation. Here we present an experimental and theoretical study of spin-wave dynamics in a cubic B20 FeGe single crystal. Using the combination of waveguide microwave absorption spectroscopy (MAS), micromagnetic simulations, and analytical theory, we identify the resonance dynamics in all magnetic phases (field polarized, conical, helical, and skyrmion phases). Because the resonance frequencies of specific chiral spin textures are unique, quantitative agreement between our theoretical predictions and experimental findings for all resonance frequencies and spin wave modes enables us to unambiguously identify chiral magnetic phases and to demonstrate that MAS is a powerful tool to efficiently extract a magnetic phase diagram. These results provide a new tool to accelerate the integration of chiral magnetic materials into spintronic devices.Identifying and understanding of spin-wave excitations in chiral and topological magnetic materials is a fundamental step towards their integration into spintronic devices. Moreover, some of these materials host magnetic skyrmions, in which spins form a topologically non-trivial excitation with an integer winding number. 1,2 Magnetic skyrmions can be driven to move by spin torques with an ultralow current threshold because there is weak or no pinning, 3,4 which makes them appealing for low-power memory, 5 magnetic logic, 6 and auto-oscillator 7 devices. In support of these potential applications, magnetic skyrmions have been investigated using several methods including Lorentz transmission electron microscopy (LTEM), [8][9][10] inelastic neutron scattering, 11,12 magnetic susceptibility, 13,14 and recently by microwave absorption spectroscopy. 15,16 Microwave absorption spectroscopy (MAS), in particular, is a powerful tool for identifying and studying dynamical magnetic excitations in materials. In materials with several complex magnetic phases, such as chiral magnetic materials with a volume Dzyaloshinskii-Moriya interaction, it may be possible to use MAS to quickly establish a magnetic phase diagram because the spin texture in each magnetic phase has a unique resonance response. This specificity gives MAS an advantage as compared to electrical measurements such as the topological Hall effect, [17][18][19][20][21][22] which is more difficult to interpret because the signals are not unique to skyrmion phases or helical phases. [19][20][21][22][23][24] In this letter, we present a study of spin-wave dynamics in a single crystal of B20 FeGe using MAS. Specifically, we measure the gigahertz frequency dynamic susceptibility of FeGe using a field-referenced lock-in technique, which significantly increases our sensitivity to magnetic phase boundaries as compared to conventional MAS. 15 We observe the resonance response in all the magnetic phases (field polarized, conical, helical and...

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confidence: 99%

Topological spin dynamics in cubic FeGe near room temperature

Turgut

Stolt

Jin

et al. 2017

Journal of Applied Physics

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“…as well as 16 800 surface elements, and yields a mesh size of h = 3.46 nm. We compare our results obtained with Commics to those presented in [16]. There, the authors use the finite difference code OOMMF [39] and investigate the evolution of the y-component of the spatially averaged magnetization, as well as its power spectrum S y .…”

Section: Time [Ns]mentioning

confidence: 97%

“…There, the authors use the finite difference code OOMMF [39] and investigate the evolution of the y-component of the spatially averaged magnetization, as well as its power spectrum S y . The power spectrum is obtained by a discrete Fourier transform as described in [16,Section 2.3.1].…”

Section: Time [Ns]mentioning

confidence: 99%

Computational micromagnetics with Commics

Pfeiler

Ruggeri

Stiftner

et al. 2020

Computer Physics Communications

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We present our open-source Python module Commics for the study of the magnetization dynamics in ferromagnetic materials via micromagnetic simulations. It implements state-of-the-art unconditionally convergent finite element methods for the numerical integration of the Landau-Lifshitz-Gilbert equation. The implementation is based on the multiphysics finite element software Netgen/NGSolve. The simulation scripts are written in Python, which leads to very readable code and direct access to extensive post-processing. Together with documentation and example scripts, the code is freely available on GitLab.

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“…P 2 To validate a new micromagnetic simulation package by direct comparison with existing simulation packages. For example, the micromagnetic standard problems [13,14,15,16] can be executed inside the virtual machine. The results computed by each package can be compared to conclude whether or not a new package achieves results consistent with other packages.…”

Section: Use Casesmentioning

confidence: 99%

Virtual Micromagnetics: A Framework for Accessible and Reproducible Micromagnetic Simulation

Vousden

Bisotti

Albert

et al. 2016

JORS

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Computational micromagnetics requires numerical solution of partial differential equations to resolve complex interactions in magnetic nanomaterials. The Virtual Micromagnetics project described here provides virtual machine simulation environments to run open-source micromagnetic simulation packages [1]. These environments allow easy access to simulation packages that are often difficult to compile and install, and enable simulations and their data to be shared and stored in a single virtual hard disk file, which encourages reproducible research. Virtual Micromagnetics can be extended to automate the installation of micromagnetic simulation packages on non-virtual machines, and to support closed-source and new open-source simulation packages, including packages from disciplines other than micromagnetics, encouraging reuse. Virtual Micromagnetics is stored in a public GitHub repository under a three-clause Berkeley Software Distribution (BSD) license.

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Proposal of a micromagnetic standard problem for ferromagnetic resonance simulations

Cited by 60 publications

References 21 publications

Topological spin dynamics in cubic FeGe near room temperature

Topological spin dynamics in cubic FeGe near room temperature

Computational micromagnetics with Commics

Virtual Micromagnetics: A Framework for Accessible and Reproducible Micromagnetic Simulation

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