• Citation: J. Wormald, J. Kempfert, J. March-Rico, and R. Smith (2025), "NNL.Fe.qSNAP-ZBL.2024.1: A Fe Spectral Neighbor Analysis Potential for Radiation Damage Simulations". DOI: 10.2172/3006967.
    Abstract: The NNL.Fe.qSNAP-ZBL.2024.1 machine-learned potential (MLP) has been generated to support the development of an elemental body-centered cubic (BCC) Fe athermal recombination corrected neutron damage model and simulations of primary recoil atom (PRA) cascades in BCC Fe. This MLP is a quadratic spectral neighbor analysis potential (qSNAP) hybridized with the universal Ziegler-Beirsack-Littmark (ZBL) potential at short-range and is named according to Naval Nuclear Laboratory MLP naming conventions (NNL.material-system.MLP-type.year.version). Training set calculations for Fe are presented along with the subsequent MLP fitting procedure. A key criterion of the fitting procedure is that ZBL describes the short-range interaction with minimal impact on the MLP. The MLP is compared to density functional theory (DFT) predicted properties relevant to radiation damage simulation, including threshold displacement energies, for validation. The NNL.Fe.qSNAP-ZBL.2024.1 potential is considered suitable for molecular dynamics (MD) simulations of radiation defects up to 800 K and PRA cascades in BCC Fe up to around 10 keV. The potential can additionally be used on a limited basis for recoils of 10-20 keV, within which range the emergence of structures outside the training set in cascade simulations may cause system instabilities.

  • LAMMPS pair_style hybrid/overlay zbl snap (2025--Wormald-J--Fe--LAMMPS--ipr1)
    See Computed Properties
    Notes: These files were provided by Jonathan Wormald (Naval Nuclear Laboratory) on August 19, 2026. The .txt file includes example LAMMPS commands for defining the potential with the ZBL parameters.
    File(s):
Date Created: October 5, 2010 | Last updated: August 31, 2026