• Citation: B. Bienvenu, M. Todorova, J. Neugebauer, D. Raabe, M. Mrovec, Y. Lysogorskiy, and R. Drautz (2025), "Development of an atomic cluster expansion potential for iron and its oxides", npj Computational Materials 11(1). DOI: 10.1038/s41524-025-01574-w.
    Abstract: The combined structural and electronic complexity of iron oxides poses many challenges to atomistic modeling. To leverage limitations in terms of the accessible length and time scales, one requires a physically justified interatomic potential which is accurate to correctly account for the complexity of iron-oxygen systems. Such a potential is not yet available in the literature. In this work, we propose a machine-learning potential based on the Atomic Cluster Expansion for modeling the iron-oxygen system, which explicitly accounts for magnetism. We test the potential on a wide range of properties of iron and its oxides, and demonstrate its ability to describe the thermodynamics of systems spanning the whole range of oxygen content and including magnetic degrees of freedom.

  • See Computed Properties
    Notes: These files were provided by Sergei Starikov on July 15, 2026. The .yaml file is the fitted potential in the original format, while the .yace file is in the LAMMPS-compatible format. The link was pulled from the paper and contains training and testing data.
    File(s): Link(s):
Date Created: October 5, 2010 | Last updated: August 12, 2026