Parameterization of the Stoner-Wohlfarth model of magnetic hysteresis

Authors :: Nikolai A. Zarkevich
Cajetan Nlebedim
R. William McCallum
Publication Year :: 2019
Publisher :: arXiv, 2019.
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.<br />Comment: 5 pages, 4 figures