Monte Carlo simulation of equilibrium L1_0 ordering in FePt nanoparticles
R.V. Chepulskii, J. Velev, W.H. Butler

TL;DR
This study uses Monte Carlo simulations to analyze how equilibrium L1_0 ordering in FePt nanoparticles varies with temperature and size, revealing size-dependent transition behavior and suggesting kinetic factors limit ordering.
Contribution
It provides the first-principles derived mixing potentials and models the size-dependent equilibrium ordering in FePt nanoparticles, highlighting the role of kinetics in experimental observations.
Findings
Bulk order-disorder temperature matches experimental data within 4%.
Nanoparticles show a smooth decrease in order parameter with temperature, no sharp transition.
Predicted high order parameter at 600°C for 3.5nm particles, indicating kinetic limitations in experiments.
Abstract
First, second and third nearest neighbor mixing potentials for FePt alloys, were calculated from first principles using a Connolly-Williams approach. Using the mixing potentials obtained in this manner, the dependency of equilibrium L1_0 ordering on temperature was studied for bulk and for a spherical nanoparticle with 3.5nm diameter at equiatomic composition by use of Monte Carlo simulation and the analytical ring approximation. The calculated order-disorder temperature for bulk (1495-1514 K) was in relatively good agreement (4% error) with the experimental value (1572K). For nanoparticles of finite size, the (long range) order parameter changed continuously from unity to zero with increasing temperature. Rather than a discontinuity indicative of a phase transition we obtained an inflection point in the order as a function of temperature. This inflection point occurred at a temperature…
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