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However, on the one hand, complex structure of the magnetically suspended gimbal introduces parametric uncertainties into modeling of magnetic suspension force, and the disturbance of magnetic fields brings the unmodeled force into dynamics of magnetically suspended gimbal.
This work focuses on the accurate thermal modeling of magnetic components for power converters.
These observations have important implications for the modeling of magnetic reconnection and particle acceleration.
In this class we will discuss the design and modeling of magnetic components, which are essential tasks in the development of high performance converters and study advanced applications.
The chapter primarily deals with physical modeling of magnetic hysteresis and losses under quasi-static and dynamic exciting conditions.
Hunting for brain quantitative measurements, we review some basic theoretical and technical considerations along with aspects related to the phenomenological signal modeling of Magnetic Resonance in studying the brain.
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The method in particular allows a good simulation of transverse non-linearities, of field fall-offs and possible merging fields in configurations of neighboring magnets, while using realistic models of magnetic fields.
Xie spent six years developing a kind of unified model of magnetic animal navigation.
Theoretical models of magnetic reconnection have been traditionally developed within the framework of magnetohydrodynamics (MHD).
We describe the process of multiscale modelling of magnetic materials, based on atomistic models coupled parametrically to micromagnetic calculations.
The simplest model of magnetic material based on its microscopic properties is the Langevin theory of paramagnetism.
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