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MATHEMATICAL MODELS OF HYSTERESIS (DYNAMIC PROBLEMS IN HYSTERESIS) [electronic resource]

Hysteresis Nonlinear Large Scale Magnetization Dynamics Magnetic Data Storage Technology Spintronics.

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Bibliographic Details
Online Access: Online Access
Corporate Author: University of Maryland (College Park, Md. ). (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : United States. Department of Energy. Office of Science ; distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2006.
Subjects:
Construction.
Critical Field.
Design.
Hysteresis.
Magnetic Fields.
Magnetic Materials.
Magnetization.
Mathematical Models.
Spin.
Stability.
Stochastic Processes.
Storage.
Temperature Dependence.
General And Miscellaneous//Mathematics, Computing, And Information Science.
Description
Summary:Hysteresis Nonlinear Large Scale Magnetization Dynamics Magnetic Data Storage Technology Spintronics.
Abstract:This research has further advanced the current state of the art in the areas of dynamic aspects of hysteresis and nonlinear large scale magnetization dynamics. The results of this research will find important engineering applications in the areas of magnetic data storage technology and the emerging technology of “spintronics”. Our research efforts have been focused on the following tasks: • Study of fast (pulse) precessional switching of magnetization in magnetic materials. • Analysis of critical fields and critical angles for precessional switching of magnetization. • Development of inverse problem approach to the design of magnetic field pulses for precessional switching of magnetization. • Study of magnetization dynamics induced by spin polarized current injection. • Construction of complete stability diagrams for spin polarized current induced magnetization dynamics. • Development of the averaging technique for the analysis of the slow time scale magnetization dynamics. • Study of thermal effects on magnetization dynamics by using the theory of stochastic processes on graphs.
Item Description:Published through SciTech Connect.
08/21/2006.
"doe/er/14614-1"
Professor Isaak Mayergoyz.
Physical Description:42KB : digital, PDF file.
Type of Report and Period Covered Note:Final;

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