Making Data-Driven Curie-Temperature Prediction Interpretable

Researchers have found a simple and robust scheme for interpreting the output of a sophisticated data-driven approach that predicts the Curie temperature (TC) of a binary alloy consisting of transition metals and rare-earth elements by measuring the correlation among descriptors.