English

Understanding Chemical Short-Range Order in CoNiV via Mode Analysis

Computational Physics 2026-07-12 v1

Abstract

We analyze chemical short-range order in equiatomic fcc NiCoV using molecular-dynamics snapshots generated with a machine-learned interatomic potential. Radial distribution functions identify stable coordination shells, while shell-resolved Warren-Cowley parameters and bond probabilities reveal continued chemical ordering after the radial structure has largely converged. The dominant signal is V-V avoidance in the first shell and V-V enrichment in the second shell, consistent with an L12_2-like local ordering tendency, while the third-shell response remains weak. Lagged Jensen-Shannon diagnostics show that bond statistics relax more slowly than the RDF. Principal component analysis of per-replica-centered bond probabilities resolves three collective modes: a V-sublattice ordering amplitude, a Ni-Co redistribution mode, and a Co-V exchange-like mode. These results show that scalar RDF convergence can miss slow chemical relaxation, and that shell-resolved bond statistics provide a compact route for tracking SRO development in multicomponent alloys.

Keywords

Cite

@article{arxiv.2607.10775,
  title  = {Understanding Chemical Short-Range Order in CoNiV via Mode Analysis},
  author = {Jilang Miao and Miaomiao Jin},
  journal= {arXiv preprint arXiv:2607.10775},
  year   = {2026}
}

Comments

4 pages, 6 figures, submitted to 2026 ANS Annual Conference