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
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