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Updated: Dec 11, 2025

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Accelerated kinetic Monte Carlo: A case study; vacancy and dumbbell interstitial diffusion traps in concentrated
Keyvan Ferasat1, Yuri N Osetsky2, Alexander V Barashev3
1Department of Mechanical and Materials Engineering, Queen's University, Kingston, Ontario K7L 3N6, Canada.
Atomic diffusion in concentrated Ni-Fe alloys shows complex, non-monotonic behavior due to composition-dependent migration energies. Accelerated kinetic Monte Carlo (kMC) methods reveal insights into vacancy and interstitial diffusion, crucial for materials science.
Area of Science:
- Materials Science
- Computational Materials Science
- Physical Chemistry
Background:
- Atomic diffusion coefficients in concentrated solid solution alloys can exhibit non-monotonic concentration dependence.
- Understanding these diffusion kinetics is crucial for predicting alloy behavior and performance.
Purpose of the Study:
- To assess the kinetics of monovacancies and ⟨100⟩ dumbbell interstitials in Ni-Fe alloys.
- To implement and benchmark accelerated kinetic Monte Carlo (kMC) methods for diffusion calculations.
Main Methods:
- Lattice kinetic Monte Carlo (kMC) simulations were employed.
- First Passage Time Analysis kMC (FPTA-kMC), Mean Rate Method kMC (MRM-kMC), and Accelerated Superbasin kMC (AS-kMC) were implemented and compared.
- Diffusion coefficients were calculated and analyzed based on composition dependence.
Main Results:
- Accelerated kMC methods (MRM-kMC and AS-kMC) offer computational efficiency over FPTA-kMC, though with potential over/underestimation of diffusion coefficients.
- Non-monotonic vacancy diffusion is linked to composition-dependent migration energies.
- Non-monotonic interstitial diffusion is attributed to differences in formation energies of Ni-Ni, Ni-Fe, and Fe-Fe dumbbell interstitials.
Conclusions:
- The interplay between composition-dependent migration energy crossover and site percolation explains the non-monotonic concentration dependence of atomic diffusion coefficients in Ni-Fe alloys.
- Accelerated kMC methods provide valuable, albeit approximate, insights into complex diffusion phenomena in alloys.
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