Nature Communications (Feb 2020)
Machine-learning-assisted insight into spin ice Dy2Ti2O7
Abstract
Developing an understanding of a material’s magnetic behaviour based on neutron scattering measurements often relies on extracting an effective spin model. Samarakoon et al. demonstrate an automated machine learning approach to this problem, leading to more robust inferences from complex data.