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Accelerated kinetic Monte Carlo: A case study; Vacancy and dumbbell interstitial diffusion traps in concentrated solid solution alloys

  • Keyvan Ferasat
  • , Yuri N. Osetsky
  • , Alexander V. Barashev
  • , Yanwen Zhang
  • , Zhongwen Yao
  • , Laurent Karim Béland

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

Vacancy and self-interstitial atomic diffusion coefficients in concentrated solid solution alloys can have a non-monotonic concentration dependence. Here, the kinetics of monovacancies and «100»dumbbell interstitials in Ni-Fe alloys are assessed using lattice kinetic Monte Carlo (kMC). The non-monotonicity is associated with superbasins, which impels using accelerated kMC methods. Detailed implementation prescriptions for first passage time analysis kMC (FPTA-kMC), mean rate method kMC (MRM-kMC), and accelerated superbasin kMC (AS-kMC) are given. The accelerated methods are benchmarked in the context of diffusion coefficient calculations. The benchmarks indicate that MRM-kMC underestimates diffusion coefficients, while AS-kMC overestimates them. In this application, MRM-kMC and AS-kMC are computationally more efficient than the more accurate FPTA-kMC. Our calculations indicate that composition dependence of migration energies is at the origin of the vacancy's non-monotonic behavior. In contrast, the difference between formation energies of Ni-Ni, Ni-Fe, and Fe-Fe dumbbell interstitials is at the origin of their non-monotonic diffusion behavior. Additionally, the migration barrier crossover composition - based on the situation where Ni or Fe atom jumps have lower energy barrier than the other one - is introduced. KMC simulations indicate that the interplay between composition dependent crossover of migration energy and geometrical site percolation explains the non-monotonic concentration-dependence of atomic diffusion coefficients.

Original languageEnglish
Article number074109
JournalJournal of Chemical Physics
Volume153
Issue number7
DOIs
StatePublished - Aug 21 2020

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