Efficient adaptive pseudo-symplectic numerical integration techniques for Landau-Lifshitz dynamics

Numerical time integration schemes for Landau-Lifshitz magnetization dynamics are considered. Such dynamics preserves the magnetization amplitude and, in the absence of dissipation, also implies the conservation of the free energy. This property is generally lost when time discretization is performe...

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Main Authors: M. d’Aquino, F. Capuano, G. Coppola, C. Serpico, I. D. Mayergoyz
Format: Article
Language:English
Published: AIP Publishing LLC 2018-05-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/1.5007340
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spelling doaj-4fc817b5633f494b978e990a564e07092020-11-25T00:25:33ZengAIP Publishing LLCAIP Advances2158-32262018-05-0185056014056014-610.1063/1.5007340101892ADVEfficient adaptive pseudo-symplectic numerical integration techniques for Landau-Lifshitz dynamicsM. d’Aquino0F. Capuano1G. Coppola2C. Serpico3I. D. Mayergoyz4Engineering Department, University of Naples “Parthenope”, 80143 Naples, ItalyDepartment of Industrial Engineering, University of Naples Federico II, 80125 Naples, ItalyDepartment of Industrial Engineering, University of Naples Federico II, 80125 Naples, ItalyDIETI, University of Naples Federico II, 80125 Naples, ItalyECE Department, University of Maryland, College Park, MD 20742, USANumerical time integration schemes for Landau-Lifshitz magnetization dynamics are considered. Such dynamics preserves the magnetization amplitude and, in the absence of dissipation, also implies the conservation of the free energy. This property is generally lost when time discretization is performed for the numerical solution. In this work, explicit numerical schemes based on Runge-Kutta methods are introduced. The schemes are termed pseudo-symplectic in that they are accurate to order p, but preserve magnetization amplitude and free energy to order q > p. An effective strategy for adaptive time-stepping control is discussed for schemes of this class. Numerical tests against analytical solutions for the simulation of fast precessional dynamics are performed in order to point out the effectiveness of the proposed methods.http://dx.doi.org/10.1063/1.5007340
collection DOAJ
language English
format Article
sources DOAJ
author M. d’Aquino
F. Capuano
G. Coppola
C. Serpico
I. D. Mayergoyz
spellingShingle M. d’Aquino
F. Capuano
G. Coppola
C. Serpico
I. D. Mayergoyz
Efficient adaptive pseudo-symplectic numerical integration techniques for Landau-Lifshitz dynamics
AIP Advances
author_facet M. d’Aquino
F. Capuano
G. Coppola
C. Serpico
I. D. Mayergoyz
author_sort M. d’Aquino
title Efficient adaptive pseudo-symplectic numerical integration techniques for Landau-Lifshitz dynamics
title_short Efficient adaptive pseudo-symplectic numerical integration techniques for Landau-Lifshitz dynamics
title_full Efficient adaptive pseudo-symplectic numerical integration techniques for Landau-Lifshitz dynamics
title_fullStr Efficient adaptive pseudo-symplectic numerical integration techniques for Landau-Lifshitz dynamics
title_full_unstemmed Efficient adaptive pseudo-symplectic numerical integration techniques for Landau-Lifshitz dynamics
title_sort efficient adaptive pseudo-symplectic numerical integration techniques for landau-lifshitz dynamics
publisher AIP Publishing LLC
series AIP Advances
issn 2158-3226
publishDate 2018-05-01
description Numerical time integration schemes for Landau-Lifshitz magnetization dynamics are considered. Such dynamics preserves the magnetization amplitude and, in the absence of dissipation, also implies the conservation of the free energy. This property is generally lost when time discretization is performed for the numerical solution. In this work, explicit numerical schemes based on Runge-Kutta methods are introduced. The schemes are termed pseudo-symplectic in that they are accurate to order p, but preserve magnetization amplitude and free energy to order q > p. An effective strategy for adaptive time-stepping control is discussed for schemes of this class. Numerical tests against analytical solutions for the simulation of fast precessional dynamics are performed in order to point out the effectiveness of the proposed methods.
url http://dx.doi.org/10.1063/1.5007340
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