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#nuclear-physics

1 curated events
papersSEP 10 04:00 UTC

Kolmogorov-Arnold Networks Applied to Refine Nuclear Mass Models

A new arXiv preprint uses Kolmogorov-Arnold Networks, an interpretable neural architecture, to improve theoretical models that predict the masses of atomic nuclei. The authors address the difficulty of learning from limited and highly complex nuclear datasets, aiming to blend physics-based theory with data-driven corrections.

kolmogorov-arnold-networks/interpretability/nuclear-physics/scientific-ml