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MA: Fachverband Magnetismus
MA 7: Poster Magnetism I
MA 7.38: Poster
Montag, 9. März 2026, 09:30–12:30, P2
Investigating Magnetic Material Parameters — •Kübra Kalkan1, Ross Knapman1,2, Atreya Majumdar1, and Karin Everschor-Sitte1 — 1Faculty of Physics and Center for Nanointegration Duisburg-Essen (CENIDE), University of Duisburg-Essen, 47057 Duisburg, Germany — 2Institute of Mechanics, University of Duisburg-Essen, Germany
Ideal magnetic materials would significantly enhance the performance and energy efficiency of modern technological devices [1]. In practice, however, real magnetic samples inevitably contain spatial inhomogeneities that weaken magnetic properties and thus, limit device capabilities. Understanding how these imperfections influence magnetization dynamics is therefore essential for both fundamental insight and material optimization. In this study, we investigate how spatial variations in exchange stiffness and uniaxial anisotropy affect high-temperature magnetization dynamics in thin films. Using physically inspired latent-inference methods [2, 3] applied to micromagnetic simulations, we develop a physics-informed, data-driven framework for quantifying the role of inhomogeneities. This approach enables the inference of material parameters directly from highly fluctuating magnetization behavior, offering a route toward deeper understanding and the design of more energy-efficient magnetic materials.
[1] O. Gutfleisch et al., Adv. Mater., 23, 821-842 (2011).
[2] D. R. Rodriges et al., iScience, 24, 3 (2021).
[3] I. Horenko et al., Comm. App. Math. And Comp. Sci., 16, 2 (2021).
Keywords: magnetic materials; micromagnetic simulations; physics-inspired tools; latent inference methods; machine learning