{"title":"随机各向异性磁体的静态和动态特性缩放","authors":"Dmitry A. Garanin, Eugene M. Chudnovsky","doi":"arxiv-2407.21520","DOIUrl":null,"url":null,"abstract":"Recently observed scaling in the random-anisotropy model of amorphous or\nsintered ferromagnets is derived by an alternative method and extended for\nstudying the dynamical properties in terms of the Landau-Lifshitz equations for\nspin blocks. Switching to the rescaled exchange and anisotropy constants allows\none to investigate the dynamics by using a reduced number of variables, which\ngreatly speeds up computations. The proposed dynamical scaling is applied to\nthe problem of microwave absorption by a random anisotropy magnet. The\nequivalence of the rescaled model to the original atomic model is confirmed\nnumerically. The method is proposed as a powerful tool in studying static and\ndynamic properties of systems with quenched randomness.","PeriodicalId":501066,"journal":{"name":"arXiv - PHYS - Disordered Systems and Neural Networks","volume":"27 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Scaling of Static and Dynamical Properties of Random Anisotropy Magnets\",\"authors\":\"Dmitry A. Garanin, Eugene M. Chudnovsky\",\"doi\":\"arxiv-2407.21520\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently observed scaling in the random-anisotropy model of amorphous or\\nsintered ferromagnets is derived by an alternative method and extended for\\nstudying the dynamical properties in terms of the Landau-Lifshitz equations for\\nspin blocks. Switching to the rescaled exchange and anisotropy constants allows\\none to investigate the dynamics by using a reduced number of variables, which\\ngreatly speeds up computations. The proposed dynamical scaling is applied to\\nthe problem of microwave absorption by a random anisotropy magnet. The\\nequivalence of the rescaled model to the original atomic model is confirmed\\nnumerically. The method is proposed as a powerful tool in studying static and\\ndynamic properties of systems with quenched randomness.\",\"PeriodicalId\":501066,\"journal\":{\"name\":\"arXiv - PHYS - Disordered Systems and Neural Networks\",\"volume\":\"27 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Disordered Systems and Neural Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2407.21520\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Disordered Systems and Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.21520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Scaling of Static and Dynamical Properties of Random Anisotropy Magnets
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.