Published December 2019 | Version v1
Journal article

A 2.5D micromagnetic solver for randomly distributed magnetic thin objects

  • 1. Istituto Nazionale di Ricerca Metrologica (INRIM), Strada delle Cacce 91, 10135 Torino (Italy)
  • 2. Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino (Italy)

Description

This paper presents a GPU-parallelized 2.5D micromagnetic solver for the efficient calculation of the magnetization configuration and hysteresis loop of 3D random distributions of magnetic thin-film objects, strongly interacting in the space. To well-reproduce complex shapes, the exchange field is calculated with a finite difference approach able to handle non-structured meshes. To enable the treatment of many objects, the magnetostatic field is locally separated into two contributions: an internal and an external one. The first term includes the magnetostatic interactions internal to each object and is obtained by numerically solving the Green's integral equation. The second term describes the inter-object magnetostatic interactions and it is determined by approximating each object as a collection of magnetic dipoles, associated with mesh elements. The accuracy and computational efficiency of the solver are analysed by comparison to a standard 3D-FFT code and to a reference code, where all the magnetostatic field terms are evaluated by numerically solving the Green's integral equation.

Additional details

Identifiers

DOI
10.1016/j.jmmm.2019.165649;
PII
S030488531930201X;

Publishing Information

Journal Title
Journal of Magnetism and Magnetic Materials
Journal Volume
492
Journal Page Range
vp.
ISSN
0304-8853
CODEN
JMMMDC

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55023240
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
INTEGRAL EQUATIONS; MAGNETIC DIPOLES; MAGNETIZATION; STATIC MAGNETIC FIELDS; THIN FILMS
Descriptors DEC
DIPOLES; EQUATIONS; FILMS; MAGNETIC FIELDS; MULTIPOLES

Optional Information

Copyright
Copyright (c) 2019 Elsevier B.V. All rights reserved.