Tensor of effective susceptibility in random magnetic composites: Application to two-dimensional and three-dimensional cases

Tensor of effective susceptibility in random magnetic composites: Application to two-dimensional... The measuring of dynamic magnetic susceptibility by nuclear magnetic resonance is used for revealing information about the internal structure of various magnetoactive composites. The response of such material on the applied external static and time-varying magnetic fields encodes intrinsic dynamic correlations and depends on links between macroscopic effective susceptibility and structure on the microscopic scale. In the current work we carried out computational analysis of the frequency dependent dynamic magnetic susceptibility and demonstrated its dependence on the microscopic architectural elements while also considering Euclidean dimensionality. The proposed numerical method is efficient in the simulation of nuclear magnetic resonance experiments in two- and three-dimensional random magnetic media by choosing and modeling the influence of the concentration of components and internal hierarchical characteristics of physical parameters. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Molecular Structure Elsevier

Tensor of effective susceptibility in random magnetic composites: Application to two-dimensional and three-dimensional cases

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier B.V.
ISSN
0022-2860
eISSN
1872-8014
D.O.I.
10.1016/j.molstruc.2018.01.048
Publisher site
See Article on Publisher Site

Abstract

The measuring of dynamic magnetic susceptibility by nuclear magnetic resonance is used for revealing information about the internal structure of various magnetoactive composites. The response of such material on the applied external static and time-varying magnetic fields encodes intrinsic dynamic correlations and depends on links between macroscopic effective susceptibility and structure on the microscopic scale. In the current work we carried out computational analysis of the frequency dependent dynamic magnetic susceptibility and demonstrated its dependence on the microscopic architectural elements while also considering Euclidean dimensionality. The proposed numerical method is efficient in the simulation of nuclear magnetic resonance experiments in two- and three-dimensional random magnetic media by choosing and modeling the influence of the concentration of components and internal hierarchical characteristics of physical parameters.

Journal

Journal of Molecular StructureElsevier

Published: May 15, 2018

References

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