Data-Driven Estimation of the interfacial Dzyaloshinskii-Moriya Interaction with Machine Learning

ArXi:2603.28812v1 Announce Type: cross Machine learning offers powerful tools to experimental techniques, particularly for extracting latent features from large datasets. In magnetic materials, accurately estimating the interfacial Dzyaloshinskii-Moriya interaction strength remains challenging, as existing experimental methods often rely on indirect measurements and can yield inconsistent results across techniques.