Regensburg 2025 – scientific programme

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MA: Fachverband Magnetismus

MA 41: Poster III

MA 41.16: Poster

Thursday, March 20, 2025, 15:00–17:30, P3

Investigating Magnetic Material Parameters Using Latent Measures — •Kübra Kalkan, Omer Fetai, Ross Knapman, Janine Graser, Atreya Majumdar, and Karin Everschor-Sitte — Faculty of Physics and Center for Nanointegration Duisburg-Essen (CENIDE), University of Duisburg-Essen, 47057 Duisburg, Germany

Magnetic materials are vital in shaping modern technology [1]. Inhomogeneities, however, influence material properties and potentially degrade their performance.

In this study, we focus on quantifying how the local and global dynamic behaviour of the magnetic material is influenced by local material parameters. We apply latent inference methods [2,3] on simulated micromagnetic data to unveil the memory and stochastic properties of the magnetic material. A deep understanding of inhomogeneities is key to enhancing the properties of magnetic materials.

[1] O. Gutfleisch et al., Adv. Mater., 23, 821 (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