2011
DOI: 10.1063/1.3617237
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Publisher’s Note: “FastMag: Fast micromagnetic simulator for complex magnetic structures (invited)” [J. Appl. Phys. 109, 07D358 (2011)]

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Cited by 9 publications
(7 citation statements)
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“…Moreover, since physics of SCMs is dictated by thermal fluctuations, a stochastic noise should be included in numerical simulations [74][75][76]. In spite of the enormous improvements experienced in computational capabilities [77], performing a stochastic-dynamic simulation which covers a time window of several orders of magnitudes still remains prohibitive. In this sense, the brute-force approach to SCMs dynamics does not seem promising for the next future.…”
Section: Beyond the Glauber Modelmentioning
confidence: 99%
“…Moreover, since physics of SCMs is dictated by thermal fluctuations, a stochastic noise should be included in numerical simulations [74][75][76]. In spite of the enormous improvements experienced in computational capabilities [77], performing a stochastic-dynamic simulation which covers a time window of several orders of magnitudes still remains prohibitive. In this sense, the brute-force approach to SCMs dynamics does not seem promising for the next future.…”
Section: Beyond the Glauber Modelmentioning
confidence: 99%
“…In our study, we investigate how ∆ and j c0 change in presence of strong DMI effect using micromagnetic simulations. We exploit three numeric techniques: static and dynamic micromagnetic simulations using Mumax3 20 and OOMMF 19 (for preliminary studies at T = 0) open source codes, and nudged-elastic band (NEB) simulation of switching paths, using the FastMag code 21 . We use as a model system a perpendicularly magnetized disk of 32 nm diameter and 1 nm thickness, with the following material parameters: saturation magnetization (M S ) of 1.03 MA/m, exchange stiffness (A) of 10 pJ/m, perpendicular magnetocrystalline anisotropy (K u ) of 0.770 MJ/m 3 , and a Gilbert damping factor (α) of 0.01.…”
mentioning
confidence: 99%
“…The micromagnetic simulations are unique and powerful tool to study equilibrium magnetization states, their dynamics and responses to external perturbations (e.g., magnetic fields or spin-polarized currents) for arbitrary geometries, and in a wide range of time-and length-scales. The micromagnetic simulation packages are mostly based on the numerical solution of the LLG equation of motion, either using a finite difference method (FDM, e.g., OOMMF [185,186] and MuMax 3[187,188] for the submicrometer scale simulations and SLaSi, [189,190] Vampire [191,192] and Spirit [193,194] for atomistic simulations) or a finite element method (FEM, e.g., COMSOL Multiphysics [195] with the LLG extension, [196] Micromagnum, [197] magnum.fe, [198,199] magpar, [200,201] FastMag, [202,203] Nmag [204][205][206] and TetraMag [207] ). While the FDM approach is faster than the FEM and it could be used for the simulation of flat 2D curvilinear geometries, the FDM approach introduces errors and artifacts that can hinder the curvature-induced effects in the case of 3D curvilinear geometries, due to the step-like boundaries.…”
Section: Computer Simulationsmentioning
confidence: 99%