High energy product in Battenberg structured magnets

Bance, Simon; Oezelt, Harald; Schrefl, T.; Winklhofer, Michael; Hrkac, G.; Zimányi, Gergely T.; Gutfleisch, Oliver; Evans, Richard F. L.; Chantrell, R.W.; Shoji, Tetsuya; Yano, Masao; Sakuma, Noritsugu; Kato, Akira; Manabe, Akira

doi:10.1063/1.4897645

Cited by 28 publications

(13 citation statements)

References 34 publications

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“…Micromagnetic simulations have become an essential tool for the design of soft magnetic sensors [6] and permanent magnets [5,43]. Fast computation of the demagnetization curve is a prerequisite for parameter studies which are applied to find optimal designs [28].…”

Section: Introductionmentioning

confidence: 99%

Preconditioned nonlinear conjugate gradient method for micromagnetic energy minimization

Exl

Fischbacher

Kovacs

et al. 2019

Computer Physics Communications

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Fast computation of demagnetization curves is essential for the computational design of soft magnetic sensors or permanent magnet materials. We show that a sparse preconditioner for a nonlinear conjugate gradient energy minimizer can lead to a speed up by a factor of 3 and 7 for computing hysteresis in soft magnetic and hard magnetic materials, respectively. As a preconditioner an approximation of the Hessian of the Lagrangian is used, which only takes local field terms into account. Preconditioning requires a few additional sparse matrix vector multiplications per iteration of the nonlinear conjugate gradient method, which is used for minimizing the energy for a given external field. The time to solution for computing the demagnetization curve scales almost linearly with problem size.

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Section: Introductionmentioning

confidence: 99%

Preconditioned nonlinear conjugate gradient method for micromagnetic energy minimization

Exl

Fischbacher

Kovacs

et al. 2019

Computer Physics Communications

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“…Nd-Fe-B-based nanocomposite permanent magnets, which consist of exchange-coupled nanocrystalline hard (Nd 2 Fe 14 B) and soft (α-Fe or Fe 3 B) magnetic phases, are of potential interest for electronic devices, motors, and wind turbines due to their preeminent magnetic properties such as high remanence and magnetic energy product [1][2][3][4][5][6]. The major challenge remains the understanding of how the features of the microstructure (e.g., average particle size and shape, volume fraction of the soft phase, texture, and interfacial chemistry) correlate with their magnetic properties.…”

Section: Introductionmentioning

confidence: 99%

Spin Structures of Textured and Isotropic Nd-Fe-B-Based Nanocomposites: Evidence for Correlated Crystallographic and Spin Textures

et al. 2017

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We report the results of a comparative study of the magnetic microstructure of textured and isotropic Nd 2 Fe 14 B=α-Fe nanocomposites using magnetometry, transmission electron microscopy, synchrotron x-ray diffraction, and, in particular, magnetic small-angle neutron scattering (SANS). Analysis of the magnetic neutron data of the textured specimen and computation of the correlation function of the spinmisalignment SANS cross section suggests the existence of inhomogeneously magnetized regions on an intraparticle nanometer length scale, about 40-50 nm in the remanent state. Possible origins for this spin disorder are discussed: it may originate in thin-grain-boundary layers (where the material parameters are different than in the Nd 2 Fe 14 B grains), or it may reflect the presence of crystal defects (introduced via hot pressing), or the dispersion in the orientation distribution of the magnetocrystalline anisotropy axes of the Nd 2 Fe 14 B grains. X-ray powder diffraction data reveal a crystallographic texture in the direction perpendicular to the pressing direction-a finding which might be related to the presence of a texture in the magnetization distribution, as inferred from the magnetic SANS data.

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“…These structures are expected to combine the high coercivity of the hard phase and the high saturation magnetization of the soft phase. This combination is advantageous in consistently achieving highenergy products with high remanence, making exchange-coupled magnetic layers excellent candidates [4,5]. The switching field of a recording layer can be effectively reduced by the exchange field from a neighboring soft layer, and such reduction enhances the applicability of exchange spring systems in ultrahigh density magnetic recording media [6e10].…”

Section: Introductionmentioning

confidence: 99%

Micromagnetic study of magnetization reversal in exchange spring systems with mutually orthogonal anisotropies

Xiang

Chen

Wang

2016

Journal of Alloys and Compounds

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High energy product in Battenberg structured magnets

Cited by 28 publications

References 34 publications

Preconditioned nonlinear conjugate gradient method for micromagnetic energy minimization

Preconditioned nonlinear conjugate gradient method for micromagnetic energy minimization

Spin Structures of Textured and Isotropic Nd-Fe-B-Based Nanocomposites: Evidence for Correlated Crystallographic and Spin Textures

Micromagnetic study of magnetization reversal in exchange spring systems with mutually orthogonal anisotropies

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