Quantifying multi-point ordering in alloys
James M. Goff, Bryant Y. Li, Susan B. Sinnott, Ismaila Dabo

TL;DR
This paper introduces a cluster order parameter (ClstOP) to systematically quantify multi-point chemical ordering in alloys, addressing limitations of pair-based models and revealing significant effects on nanocage stability.
Contribution
A novel cluster order parameter (ClstOP) is developed for direct quantification of multi-point ordering in substitutional alloys, applicable to complex multi-sublattice systems.
Findings
ClstOP effectively quantifies four-point motifs in alloy nanoparticles.
Pair probability approximations are insufficient when multi-body interactions are significant.
Chemical ordering impacts the stability and formation mechanisms of alloy nanocages.
Abstract
A central problem in multicomponent lattice systems is to systematically quantify multi-point ordering. Ordering in such systems is often described in terms of pairs, even though this is not sufficient when three-point and higher-order interactions are included in the Hamiltonian. Current models and parameters for multi-point ordering are often only applicable for very specific cases and/or require approximating a subset of correlated occupational variables on a lattice as being uncorrelated. In this work, a cluster order parameter (ClstOP) is introduced to systematically quantify arbitrary multi-point ordering motifs in substitutional systems through direct calculations of normalized cluster probabilities. These parameters can describe multi-point chemical ordering in crystal systems with multiple sublattices, multiple components, and systems with reduced symmetry. These are defined…
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