arXiv Machine Learning June 11, 2026 By Clemens Wager, Heisam Moustafa, Alexander Kovacs, Qais Ali, Harald Oezelt, Hayate Yamano, Masao Yano, Noritsugu Sakuma, Hyuga Hosoi, Akihito Kinoshita, Tetsuya Shoji, Akira Kato, Thomas Schrefl

Modelling magnetic material properties with uncertainty-aware neural networks

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arXiv:2606. 11870v1 Announce Type: cross Abstract: Machine learning is increasingly applied to accelerate the discovery of novel materials by exploring large compositional and structural design spaces.

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