Self-Diffusion in a Triple-Defect A-B Binary System: Monte Carlo simulation

TL;DR

This study uses kinetic Monte Carlo simulations to analyze vacancy-mediated self-diffusion in a triple-defect B2-ordered binary system, reproducing experimental phenomena and providing detailed atomistic insights into diffusion mechanisms.

Contribution

It introduces a comprehensive KMC simulation approach for triple-defect binaries, capturing experimental diffusion behaviors and analyzing atomistic factors influencing diffusion.

Findings

Reproduced characteristic 'V'-shaped diffusivity curves.

Observed enhanced B-atom diffusivity in B-rich systems.

Analyzed temperature and composition effects on diffusion parameters.

Abstract

In this comprehensive and detailed study, vacancy-mediated self-diffusion of A- and B-elements in 'triple-defect' B2-ordered ASB(1-S) binaries is simulated by means of a kinetic Monte Carlo (KMC) algorithm involving atomic jumps to nearest-neighbour (nn) and next-nearest-neighbour (nnn) vacancies. The systems are modelled with an Ising-type Hamiltonian with nn and nnn pair interactions complete with migration barriers dependent on local configurations. Self-diffusion is simulated at equilibrium and temperature-dependent vacancy concentrations are generated by means of a Semi Grand Canonical MC (SGCMC) code. The KMC simulations reproduced the phenomena observed experimentally in Ni-Al intermetallics being typical representatives of the 'triple-defect' binaries. In particular, they yielded the characteristic 'V'-shapes of the isothermal concentration dependencies of A- and B-atom diffusivities, as well as the strong enhancement of the B-atom diffusivity in B-rich systems. The atomistic origins of the phenomenon, as well as other features of the simulated self-diffusion such as temperature and composition dependences of tracer correlation factors and activation energies are analyzed in depth in terms of a number of nanoscopic parameters that are able to be tuned and monitored exclusively with atomistic simulations. The roles of equilibrium and kinetic factors in the generation of the observed features are clearly distinguished and elucidated.