Homogenization of random anisotropy properties in...

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Homogenization of random anisotropy properties in polycrystalline magnetic materials Oriano Bottauscio a , Valeria Chiad` o Piat b , Michela Eleuteri c,1 , Luca Lussardi d , Alessandra Manzin a a Istituto Nazionale di Ricerca Metrologica, strada delle Cacce 91, I-10135 Torino, Italy. b Politecnico di Torino, c.so Duca degli Abruzzi 24, I-10129 Torino, Italy. c On leave from: Dip.di Matematica, via Sommarive 14, I-38123 Povo (Trento), Italy. d Technische Universit¨at Dortmund, Vogelpothsweg 87, D-44227 Dortmund, Germany. Abstract This paper is devoted to the determination of the equivalent anisotropy properties of polycrystalline magnetic materials, modelled by an assembly of monocrystalline grains with a stochastic spatial distribution of easy axes. The mathematical theory of Γ-convergence is applied to homogenize the anisotropic term in the Gibbs free energy. The procedure is validated focusing on the micromagnetic computation of reversal processes in polycrystalline magnetic thin films. 2010 Mathematics Subject Classification: 49J45, 60H07. Keywords: Micromagnetics, Polycrystalline magnetic materials, Random anisotropy, Homogenization. 1. Introduction In the last years, much effort has been devoted to the development of the- oretical models and advanced micromagnetic computational codes to study magnetization processes at micrometric and submicrometric scale 1,2 . Crit- icalities can appear in the treatment of the spatial distribution of hetero- geneous physical parameters when polycrystalline magnetic materials are modelled. Usually, they are described as an array of grains, geometrically constructed using Voronoi diagrams 3 . We employ an alternative approach, where the sample is modelled by an assembly of monocrystalline grains, as- suming a stochastic spatial distribution of easy axes, and the mathematical theory of Γ-convergence (for multiple-scale problems in micromagnetism, see for instance 4 ) is applied to homogenize the anisotropic term in the Gibbs 1 Corresponding author. E-mail: [email protected]. Preprint submitted to Physics B Condensed Matter May 20, 2011

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Homogenization of random anisotropy properties in

polycrystalline magnetic materials

Oriano Bottauscioa, Valeria Chiado Piatb, Michela Eleuteric,1,Luca Lussardid, Alessandra Manzina

aIstituto Nazionale di Ricerca Metrologica, strada delle Cacce 91, I-10135 Torino, Italy.bPolitecnico di Torino, c.so Duca degli Abruzzi 24, I-10129 Torino, Italy.

cOn leave from: Dip. di Matematica, via Sommarive 14, I-38123 Povo (Trento), Italy.dTechnische Universitat Dortmund, Vogelpothsweg 87, D-44227 Dortmund, Germany.

Abstract

This paper is devoted to the determination of the equivalent anisotropy propertiesof polycrystalline magnetic materials, modelled by an assembly of monocrystallinegrains with a stochastic spatial distribution of easy axes. The mathematical theoryof Γ-convergence is applied to homogenize the anisotropic term in the Gibbs freeenergy. The procedure is validated focusing on the micromagnetic computation ofreversal processes in polycrystalline magnetic thin films.

2010 Mathematics Subject Classification: 49J45, 60H07.Keywords: Micromagnetics, Polycrystalline magnetic materials, Random anisotropy,Homogenization.

1. Introduction

In the last years, much effort has been devoted to the development of the-oretical models and advanced micromagnetic computational codes to studymagnetization processes at micrometric and submicrometric scale1,2. Crit-icalities can appear in the treatment of the spatial distribution of hetero-geneous physical parameters when polycrystalline magnetic materials aremodelled. Usually, they are described as an array of grains, geometricallyconstructed using Voronoi diagrams3. We employ an alternative approach,where the sample is modelled by an assembly of monocrystalline grains, as-suming a stochastic spatial distribution of easy axes, and the mathematicaltheory of Γ-convergence (for multiple-scale problems in micromagnetism, seefor instance4) is applied to homogenize the anisotropic term in the Gibbs

1Corresponding author. E-mail: [email protected].

Preprint submitted to Physics B Condensed Matter May 20, 2011

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free energy. The proof of convergence is detailed in5. Here, the homogeniza-tion result is used to study precessional switching in polycrystalline magneticthin films, comparing the results obtained by considering heterogeneous andhomogenized media.

2. Setting of the problem and homogenization result

We deal with a polycrystalline magnetic sample, which occupies a boundedregion D in R3. We introduce the magnetic spatial distribution M : R3 → R3,with |M| = MSχD, where MS > 0 is a fixed constant (saturation magnetiza-tion), and the rescaled magnetization m := M/MS.

The total energy associated to the system is the sum of the exchangeenergy Eexc(m), the anisotropy energy Ean(m, ω), the magnetostatic energyEmagn(m) and the Zeeman energy Eext(m), namely

E(m, ω) :=

∫D

A|∇m|2 dx +

∫D

fan(m,x, ω) dx (2.1)

−µ0

2

∫D

MSHm ·m dx− µ0

∫D

MSHa ·m dx.

In (2.1) A > 0 is the exchange constant; fan represents the anisotropy energydensity given by fan(m,x, ω) := kan[1 − (m · uan(Txω))2], where kan > 0 isthe magnetocrystalline anisotropy constant and uan : Ω → |x| = 1 is arandom distribution of easy axes: (Ω, µ) is a probability space and T is a3-dimensional ergodic dynamical system on Ω. Moreover, µ0 is the magneticpermeability of vacuum; Hm := ∇u is the magnetostatic field, and the scalarpotential u is the solution of the Poisson equation ∇2u+∇ ·M = 0.

In5 the spatial homogenization of the anisotropy energy Ean is investi-gated. More precisely, if Eε

an(m, ω) :=∫Dfan

(m, x

ε, ω)

dx, then the familyEε(m, ω) := Eexc(m) + Eε

an(m, ω) + Emagn(m) + Eext(m) Γ-converges, asε→ 0+, a.s. in Ω, to

E(m) = Eexc(m) + kan

∫D

∫Ω

[1− (m ·uan(ω))2] dµ dx+Emagn(m) +Eext(m).

(2.2)The homogenization result, defined by Eq. (2.2), is applied to determinethe equivalent anisotropy properties of a polycrystalline magnetic medium.By considering a spherical coordinate system with angular coordinates θ(0 ≤ θ ≤ π) and φ (0 ≤ φ ≤ 2π), uan is assumed to be a Gaussian randomvariable uan : Ω→ R3, with a probability density function P (θ, φ) = ρ(θ)ρ(φ)

where ρ(ν) = 1sν√

2πe− |ν−ην |

2

2s2ν , being ν = θ (or ν = φ), sν the standard de-viation and ην the expected value. In order to derive equivalent anisotropy

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parameters, fan(m) is numerically interpolated by an equivalent anisotropyfunction having the expression: f ∗an(m) = k∗an[1− γ(m · uan(ηθ, ηφ))2], wherek∗an is the equivalent anisotropy constant and γ is a dimensionless interpolat-ing coefficient. As an example, the plots of the equivalent anisotropy func-tions and the corresponding energy surfaces are shown in Fig. 1 for two valuesof the standard deviation s (having assumed s = sθ = sφ), with ηθ = π/2and ηφ = π. At the increase of s, the equivalent anisotropy energy surfacetends to a sphere, since there is an asymptotic behaviour towards isotropy.

Figure 1: Equivalent anisotropy function fan(m) and corresponding energy surfaces, fors = π/20 (a) and s = π/5 (b), having assumed ηθ = π/2 and ηφ = π.

3. Numerical analysis

The homogenization procedure has been validated by simulating the pre-cessional switching of a 4µm×4µm polycrystalline magnetic film, with thick-ness equal to 20 nm. In the film plane the grains are assumed to have a squareshape with size of 20 nm; in each grain a given anisotropy direction uan isassumed. The micromagnetic simulations are performed by integrating the

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Landau-Lifshitz-Gilbert (LLG) equation:

∂M

∂t= − γG

(1 + α2)

[((M×Heff) +

α

MS

M× (M×Heff)

)], with |M| = MS

(3.1)where γG = 2.21 ·105 mA−1s−1 is the absolute value of the gyromagnetic ratioand α is the damping constant1. The effective field Heff is the sum of appliedfield Ha, anisotropy field Han, exchange field Hex and magnetostatic field Hm.In particular, Han is deduced by the anisotropy energy function fan as Han =− 1µ0

∂fan(M)∂M

. The spatial discretization of the LLG equation is performed byusing the finite element method with linear basis functions, assuming thecomponents of Heff as nodal unknowns6. Then, the magnetization updateis performed via a norm-conserving scheme based on the Cayley transform7.To accelerate the computation, the magnetostatic field due to “far” dipolesis evaluated by a multipole expansion technique8.

In the simulations the following physical parameters have been consid-ered: MS = 800 kA/m, A = 15 pJ/m and α = 0.02. The thin film is dis-cretized into volume elements with size ∼ 6.6 nm. We assume that kan = 50kJ/m3 and vector uan is randomly distributed over the film plane (i.e. angleθ is fixed to π/2), while angle φ has a Gaussian distribution with standarddeviation sφ and expected value ηφ. The precessional switching is simulatedstarting from a uniform spatial distribution of the magnetization along thex1-axis and applying a constant field Ha, with amplitude equal to 100 kA/m,along the x2-axis (see Fig. 2a). In particular, Figs. 2b and 2c show the resultsobtained for a standard deviation sφ of π/6 and π, respectively. The fittingparameters k∗an/kan and γ are equal to 0.977 and 0.921 for s = π/6, whilethey are equal to 0.88 and 0.567 for sφ = π. The results are validated bycomparison to the ones obtained for the heterogeneous structure, putting inevidence a good agreement, also when considering grains having bigger size.Some discrepancies arise at the increase of the standard deviation, since theheterogeneities in the anisotropy term become more important. To highlightthe effect of grains on anisotropy properties, we have also computed the mag-netization time evolutions obtained in the absence of anisotropy (kan = 0) orassuming a uniform uniaxial anisotropy along x1-axis (see Fig. 2d).

Acknowledgments

This work has been partially supported by the project GNAMPA 2010Problemi variazionali in micromagnetismo (coordinator: M. Eleuteri). Theauthors wish to thank Andrey Piatnitski for helpful suggestions and remarks.

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Figure 2: (a) Scheme of the precessional switching. Time evolution of the magnetiza-tion components assuming an anisotropy constant kan equal to 50 kJ/m3 and a variablestandard deviation sφ: (b) sφ = π/6 and (c) sφ = π. The results obtained with the hetero-geneous structure are compared with those given by considering homogenized parameters.(d) Time evolution of the magnetization components disregarding anisotropy or assuminga uniform uniaxial anisotropy along x1-axis with kan equal to 50 kJ/m.

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[2] H. Kronmuller, M. Fahnle, Micromagnetism and the Microstructureof Ferromagnetic Solids, Cambridge University Press, 2003.

[3] J. W. Lau, R. McMicheal, M. J. Donahue, J. Res. Natl. Inst.Stand.Technol. 144 (2009) 57.

[4] A. DeSimone, R. V. Kohn, S. Muller, F. Otto, Recent AnalyticalDevelopments in Micromagnetics. The Science of Hysteresis, eds. G.Bertotti and I. Mayergoyz (Elsevier, 2006) 269-381.

[5] O. Bottauscio, V. Chiado Piat, M. Eleuteri, L. Lussardi, A. Manzin,Averaging of anisotropy functional in polycrystalline magneticmaterials, submitted.

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[7] D. Lewis, N. Ningam, J. Comput. Appl. Math. 151 (2003) 141.

[8] A. Manzin, O. Bottauscio, IEEE Trans. Magn. 45 (2009) 5208.

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