Statistical coarse graining as an approach to multiscale problems in magnetism (invited)

被引:2
|
作者
Dobrovitski, VV [1 ]
Katsnelson, MI
Harmon, BN
机构
[1] Iowa State Univ, Ames Lab, Ames, IA 50011 USA
[2] Inst Met Phys, Ekaterinburg 620219, Russia
关键词
D O I
10.1063/1.1556095
中图分类号
O59 [应用物理学];
学科分类号
摘要
Multiscale phenomena which include several processes occurring simultaneously at different length scales, and exchanging energy with each other, are widespread in magnetism (e.g., nucleation of magnetization reversal at an atomic-scale defect or grain boundary, a domain wall breaking through an atomic-scale defect, etc.). We demonstrate that in such multiscale processes, a role of short-wavelength excitations dynamically generated near the defects is crucial. As a result, standard micromagnetic theory is not always sufficient for description of these phenomena. We present a novel coarse-graining approach to length scales coupling in dynamical magnetic modeling, which allows accurate treatment of microscopic defects in nanomagnets. The results of simulations performed on simplified model systems, where an atomic-scale variation of anisotropy and exchange represent defects in real systems, show that the coarse-graining approach achieves practically the precision of exact atomic simulations, while describing the system with a much smaller number of degrees of freedom. (C) 2003 American Institute of Physics.
引用
收藏
页码:6432 / 6437
页数:6
相关论文
共 50 条
  • [41] COARSE GRAINING OF MICROSCOPIC VARIABLES IN THE MINIMAL INFORMATION APPROACH
    SNEPPEN, K
    DONANGELO, R
    PHYSICAL REVIEW C, 1989, 39 (01): : 263 - 264
  • [42] Information loss under coarse graining: A geometric approach
    Raju, Archishman
    Machta, Benjamin B.
    Sethna, James P.
    PHYSICAL REVIEW E, 2018, 98 (05)
  • [43] Systematic multiscale and multistate ultra coarse-graining of large biomolecules: Foundations
    Dama, James F.
    Sinitsky, Anton V.
    Voth, Gregory A.
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2013, 246
  • [44] A coarse graining approach in molecular simulations: Fuzzy potentials
    Essiz, Sebnem
    Yurtsever, Ersin
    ARI Bulletin of the Istanbul Technical University, 2003, 53 (01): : 25 - 28
  • [45] Multiscale dynamics of semiflexible polymers from a universal coarse-graining procedure
    Koslover, Elena F.
    Spakowitz, Andrew J.
    PHYSICAL REVIEW E, 2014, 90 (01):
  • [46] Asymmetry, Abstraction, and Autonomy: Justifying Coarse-Graining in Statistical Mechanics
    Robertson, Katie
    BRITISH JOURNAL FOR THE PHILOSOPHY OF SCIENCE, 2020, 71 (02): : 547 - 579
  • [47] SAMPLE: Surface structure search enabled by coarse graining and statistical learning
    Hoermann, Lukas
    Jeindl, Andreas
    Egger, Alexander T.
    Scherbela, Michael
    Hofmann, Oliver T.
    COMPUTER PHYSICS COMMUNICATIONS, 2019, 244 : 143 - 155
  • [48] Solvent-Free Lipid Bilayer Model Using Multiscale Coarse-Graining
    Izvekov, Sergei
    Voth, Gregory A.
    JOURNAL OF PHYSICAL CHEMISTRY B, 2009, 113 (13): : 4443 - 4455
  • [49] Multiscale Coarse-Graining of Polarizable Models through Force Matched Dipole Fluctuations
    Lafond, Patrick G.
    Izvekov, Sergei
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2016, 12 (12) : 5737 - 5750
  • [50] Multiscale coarse-graining and structural correlations: Connections to liquid-state theory
    Noid, W. G.
    Chu, Jhih-Wei
    Ayton, Gary S.
    Voth, Gregory A.
    JOURNAL OF PHYSICAL CHEMISTRY B, 2007, 111 (16): : 4116 - 4127