Publications (Extract Research Database)

Wager, C.; Kovacs, A.; Schrefl, T. (2023). Active Learning Scheme vs Conventional Optimization - developing a Python Framework. In: HMM, proceedings in 13th International Symposium on Hysteresis Modeling and Micromagnetics (HMM 2023): 1, HMM, Wien

Lectures (Extract Research Database)

Evaluating uncertainty estimation in machine learning for materials science

14th Joint European Magnetic Symposia 2025, 28/08/2025

Optimization of a permanent magnet with uncertainty control

28th International Workshop on Rare Earth and Future Permanent Magnets and Their Application, 31/07/2025

Optimization of Coercivity and Price of a Permanent Magnet considering the Microstructure

16th Joint MMM-Intermag Conference, 15/01/2025

Active Learning Scheme vs Conventional Optimization - developing a Python Framework

13th International Symposium on Hysteresis Modeling and Micromagnetics (HMM 2023), 05/06/2023

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