A recent study by Paul R. Ohodnicki and colleagues employed machine learning alongside DFT and Monte Carlo simulations to predict cobalt ferrite’s inversion degree and magnetic moments. Validated by neutron diffraction, this research demonstrates how computational methods can accurately forecast material behavior, offering potential guidance for advanced applications.