activity
20112026
most citedMicromagnetics of rare-earth efficient permanent magnets

110 citations · 745 across the 33 of their papers we have counts for

collaborators

34 papers

cond-mat.mtrl-sci2026

Transition-Metal-Induced Uniaxial Anisotropy in YFe

M. Nur Hasan, Bruno L. Fertig, Santa Pile +13

Achieving uniaxial magnetocrystalline anisotropy while preserving high magnetization and thermal stability remains a central challenge in the development of Fe-rich permanent magne…

cond-mat.mtrl-sci2026

A Community-Developed Domain Ontology for Magnetic Materials

Wilfried Hortschitz, Santa Pile, Claas Fillies +18

Magnetic materials play a crucial role in energy-related technologies, mobility, and sensing, but their complex multiscale behaviour and the coexistence of multiple unit systems po…

cond-mat.mtrl-sci2026

Modelling magnetic material properties with uncertainty-aware neural networks

Clemens Wager, Heisam Moustafa, Alexander Kovacs +10

Machine learning is increasingly used to accelerate materials discovery across large compositional and structural design spaces, but limited and heterogeneous data make reliable un…

cond-mat.mtrl-sci2026

Tailoring the material properties, nanostructure and grain alignment of Alnico magnets through micromagnetic simulations

Anda Elena Stanciu, Johann Fischbacher, Markus Gusenbauer +9

Alnico magnets have gained renewed interest in the search for rare-earth free permanent magnets due to their high thermal stability and magnetisation. However, the limited coercivi…

physics.comp-ph2025

Graph Neural Networks to Predict Coercivity of Hard Magnetic Microstructures

Heisam Moustafa, Alexander Kovacs, Johann Fischbacher +5

Graph neural networks (GNN) are a promising tool to predict magnetic properties of large multi-grain structures, which can speed up the search for rare-earth free permanent magnets…

physics.flu-dyn2025

Modeling liquid-mediated interactions for close-to-substrate magnetic microparticle transport in dynamic magnetic field landscapes

Markus Gusenbauer, Rico Huhnstock, Alexander Kovacs +3

Understanding the on-chip motion of magnetic particles in a microfluidic environment is key to realizing magnetic particle-based Lab-on-a-chip systems for medical diagnostics. In t…