2026-10-13T07:13:50Z https://www.scidb.cn/oai

10.57760/sciencedb.j00113.00290 2025-12-29T09:08:48Z

2025-12-29 The data of article''Micromagnetic Simulation of μ MAG Standard Problem No. 3: Evaluating the Standard Dipole-Dipole Interaction'' doi:10.57760/sciencedb.j00113.00290 en Cubic−shaped magnetic particles subjected to a dimensionless uniaxial anisotropy (Q = 0.1) aligned with one of the crystallographic axes provide an ideal system for investigating magnetic equilibrium states. In this system, three fundamental magnetization configurations are identified: (i) the flower state, (ii) the twisted flower state, and (iii) the vortex state. This problem corresponds to Standard Problem No. 3 proposed by the NIST Micromagnetics Modeling Group, widely adopted as a benchmark for validating computational micromagnetics methods. In this work, we approach the problem using a computational method based on direct dipolar interactions, in contrast to conventional techniques that typically compute the demagnetizing field via finite difference-based Fast Fourier Transform (FFT) methods, tensor grid approaches, or finite element formulations. Our results are compared with established literature data, focusing on the dimensionless parameter λ = L/lex , where L is the cube edge length and lex is the exchange length of the material. To analyze equilibrium state transitions, we systematically varied the size L as a function of the simulation cell number N and intercellular spacing a, determining the critical λ value associated with configuration changes. Our simulations reveal that the transition between the twisted flower and vortex states occurs at λ ≈ 8.45, consistent with values reported in the literature, validating our code (Grupo de Fı́sica da Matéria Condensada - UFJF), and shows that this standard problem can be resolved using only interaction dipolar of a direct way without the use sophisticated additional calculations. Micromagnetic Simulation; Standard Problem No. 3; Dipolar Interaction. pablo zimmermann coura Antonio Kaeliton Ferro da Silva Henrique Santiago de Assis Diego Conceição Carvalho PUBLIC https://api.github.com/licenses/mit dataset http://www.doi.org/10.1088/1674-1056/ae1727 Science Data Bank