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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
Fully Compensated Lines in Ferrimagnets
Qais Ali, Anna Grünebohm, Halil Ibrahim Sözen +3
We generalize the classic Néel diagram and identify another type of ferrimagnetic phase that remains fully magnetically compensated below the Curie temperature, forming a continuou…