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Bibliographic Details
Main Authors: Garanin, Dmitry A., Chudnovsky, Eugene M.
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2407.21520
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author Garanin, Dmitry A.
Chudnovsky, Eugene M.
author_facet Garanin, Dmitry A.
Chudnovsky, Eugene M.
contents Recently observed scaling in the random-anisotropy model of amorphous or sintered ferromagnets is derived by an alternative method and extended for studying the dynamical properties in terms of the Landau-Lifshitz equations for spin blocks. Switching to the rescaled exchange and anisotropy constants allows one to investigate the dynamics by using a reduced number of variables, which greatly speeds up computations. The proposed dynamical scaling is applied to the problem of microwave absorption by a random anisotropy magnet. The equivalence of the rescaled model to the original atomic model is confirmed numerically. The method is proposed as a powerful tool in studying static and dynamic properties of systems with quenched randomness.
format Preprint
id arxiv_https___arxiv_org_abs_2407_21520
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Scaling of Static and Dynamical Properties of Random Anisotropy Magnets
Garanin, Dmitry A.
Chudnovsky, Eugene M.
Disordered Systems and Neural Networks
Recently observed scaling in the random-anisotropy model of amorphous or sintered ferromagnets is derived by an alternative method and extended for studying the dynamical properties in terms of the Landau-Lifshitz equations for spin blocks. Switching to the rescaled exchange and anisotropy constants allows one to investigate the dynamics by using a reduced number of variables, which greatly speeds up computations. The proposed dynamical scaling is applied to the problem of microwave absorption by a random anisotropy magnet. The equivalence of the rescaled model to the original atomic model is confirmed numerically. The method is proposed as a powerful tool in studying static and dynamic properties of systems with quenched randomness.
title Scaling of Static and Dynamical Properties of Random Anisotropy Magnets
topic Disordered Systems and Neural Networks
url https://arxiv.org/abs/2407.21520