Description
Permanent magnets are a key technology for modern society with applications in air conditioning, mobility or power generation. The measured coercive fields in modern permanent magnets reach only a small fraction of the theoretical values. A series of experimental studies have shown that discontinuities and misalignment at the atomic scale significantly affect the macroscopic coercivity. In this project, we develop a quantitative theory of coercivity, taking into account the local atomic structure, the spatial variation of the intrinsic magnetic properties, and the physical microstructure of the magnet. To achieve this goal we bridge the length scale between ab-initio simulations, atomistic spin dynamics and continuum micromagnetic simulations. Atomic defects at interfaces and grain boundaries will be considered already at the smallest possible length scale, the unit cells of the material composition. The developed theory is guided by well described magnetic materials to validate the system throughout the progress of the project.
Details
Duration | 01/11/2022 - 31/03/2026 |
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Funding | FWF |
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Department | |
Principle investigator for the project (University for Continuing Education Krems) | Dipl.-Ing.(FH) Dr. Markus Gusenbauer |
Publications
Kovacs, A.; Fischbacher, J.; Oezelt, H.; Ali, Q.; Gusenbauer, M.; Schrefl, T. (2023). Finite Hex Element Adaptive Mesh Refinement of Demagnetizing Field Computation. In: HMM, proceedings in 13th International Symposium on Hysteresis Modeling and Micromagnetics (HMM 2023): 1, HMM, Wien
Lectures
Micromagnetic investigation of interface coupling and microstructure on magnetic equilibrium states and saturation of CoRuCo multilayer systems
MSE 2024, 26/09/2024
Micromagnetic simulation study of micro-structural influence on magnetic equilibrium states in ultra-thin hcp Co films
International Conference on Magnetism, 04/07/2024
Experiments and simulations for physics-informed machine learning to design nedoymium-iron-boron permanent magnets
Joint European Magnetic Symposia (JEMS 2023), 31/08/2023
Recent activities on the applications of machine learning in micromagnetics
IEEE Advances in Magnetics (AIM2023), 17/01/2023