• Citation: Z. Liu, B. Li, Y. Guo, Z. Liu, B. Gu, N. Sun, Y. Li, N. Qiu, Z. Hu, M. Adnan, Z. Jiang, and S. Du (2025), "Development of an EAM potential for nuclear-grade Mo-Re alloys via a particle swarm optimization(PSO)-driven three-stage refinement strategy", Computational Materials Science 260, 114180. DOI: 10.1016/j.commatsci.2025.114180.
    Abstract: This study presents a particle swarm optimization (PSO)-driven three-stage fitting strategy for developing embedded-atom method (EAM) potentials for nuclear-grade Mo-Re alloys. The strategy combines global search with diversity screening, local search with normativity screening and refined search with accuracy screening, generating a large pool with 300 candidate potentials and selecting optimal ones to meet the nuclear application requirements. Compared with the existing three EAM potentials, our new Mo and Re unitary potentials rank top in multiple evaluation metrics, demonstrating excellent comprehensive performance. The developed Mo-Re binary potential accurately reproduces the trends of cohesive energy, lattice constants and Young's modulus of BCC-MoRe mixed single crystal, matching experimental or DFT results within the required composition and temperature ranges for nuclear applications. Furthermore, the binary potential is applied to model the various defect systems including edge/screw dislocations, vacancy/interstitial clusters and simple cascade simulations. The simulations successfully captured several critical Re-doping effects: (1) pinning of edge dislocations, (2) softening of screw dislocation nucleation mechanisms, (3) suppression of interstitial diffusion, and (4) inhibition of vacancy-interstitial recombination. These results validate the accuracy and applicability of our Mo-Re potential for both single-crystal and defect behavior calculations, while providing an effective potential development strategy for nuclear-grade alloys.

  • LAMMPS pair_style eam/fs (2025--Liu-Z--Mo-Re--LAMMPS--ipr1)
    See Computed Properties
    Notes: This file was provided by Zhen Liu on Nov 25, 2025.
    File(s):
Date Created: October 5, 2010 | Last updated: December 05, 2025