Predicting magnetic anisotropy energies using site-specific spin-orbit coupling energies and machine learning: Application to iron-cobalt nitrides

The authors present a promising machine learning model, which focuses on site-magnetic-properties for rapid screening in materials design and accelerates computational screening of candidate materials that possess high magnetizations and large magnetic anisotropy energies.