arXiv · 1912.11553
Parameterization of the Stoner-Wohlfarth model of magnetic hysteresis
Abstract
The Stoner-Wohlfarth is the most used model of magnetic hysteresis, but its computation is time-consuming. We use machine learning to approximate piecewise this model by easy-to-compute analytic functions. Our parametrization is suitable for fast quantitative evaluations and fitting experimental data, which we exemplify.
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Nikolai A. Zarkevich, Cajetan Ikenna Nlebedim, R. William McCallum. 2019-12-24. Parameterization of the Stoner-Wohlfarth model of magnetic hysteresis. https://doi.org/10.1016/j.jmmm.2021.167913
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