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Author

J. Paddison

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Review Sep 2026

Machine learning magnetic interactions from neutron powder diffraction data

This work investigates the effectiveness of a machine learning approach to predict the interaction parameters given magnetic diffuse-scattering data measured on powder samples, for a comprehensive survey of isotropic interactions on eight high-symmetry lattices.

Aditya Desai, Yong-Qiang Cheng, J. Paddison · 1 citation · ⚡1

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