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

21 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

Funding

Y.N.O. and Y.Z. were supported as part of the Energy Dissipation to Defect Evolution (EDDE), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, under Contract No. DE-AC05-00OR22725. K.F., L.K.B, and Z.Y. were financially supported by NSERC-UNENE. K.F., L.K.B., and Z.Y. thank Compute Canada for generous allocation of computer resources.

FundersFunder number
NSERC-UNENE
U.S. Department of Energy
Office of Science
Basic Energy SciencesDE-AC05-00OR22725

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