2015
DOI: 10.1016/j.commatsci.2015.01.018
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Vacancy formation energies in metals: A comparison of MetaGGA with LDA and GGA exchange–correlation functionals

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Cited by 83 publications
(67 citation statements)
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“…We find that E v is equal to 1.985 eV using the LDA and 3 × 3 × 3 supercell, similar to the results obtained with the GGA. This is also confirmed by E v values for hcp-Ti evaluated by Medasani et al 16 using both the LDA and GGA.…”
Section: Methodssupporting
confidence: 76%
See 1 more Smart Citation
“…We find that E v is equal to 1.985 eV using the LDA and 3 × 3 × 3 supercell, similar to the results obtained with the GGA. This is also confirmed by E v values for hcp-Ti evaluated by Medasani et al 16 using both the LDA and GGA.…”
Section: Methodssupporting
confidence: 76%
“…The difference between vacancy formation energy values is probably due to the choice of approximation for the exchange and correlation functional. In fact, Medasani et al 16 have shown that E v is 2.18 eV when calculated using GGA-PBEsol. All these approximations to the exchange and correlation functional appear to overestimate the experimental data for the vacancy formation energy.…”
Section: A Self-diffusionmentioning
confidence: 99%
“…40 Energies of Ti vacancies are obtained in a similar range with different exchangecorrelation functionals, 41 which are overestimated than that reported in experiment (1.55 eV in ref. 42 and 1.27 eV from positron annihilation spectroscopy in ref.…”
Section: Resultsmentioning
confidence: 71%
“…Migration barriers have been calculated with the nudged-elastic band (NEB) method with the climbing image algorithm [81]. Elastic energy corrections for image interactions associated with supercells were made 094105-4 [46] using the method of Varvenne et al [65]. The elastic interaction energy is computed from the pressure and the deviatoric stress computed ab initio within supercells with fixed volume and fixed (cubic) shape.…”
Section: First-principles Calculationsmentioning
confidence: 99%
“…This is particularly the case for diffusion in iron where an Arrhenius plot does not show a simple linear relation in the ferromagnetic state. Density functional theory (DFT) calculations have proven successful in predicting experimental data such as lattice parameters [46,47], elastic properties [48,49], and energy barriers for diffusion, e.g., diffusivities in aluminum [50], magnesium [51,52], and nickel [53]. Many impurity diffusivities in bcc iron [54][55][56][57][58][59][60][61] have been calculated with DFT methods, but oftentimes only experimentally fitted data, such as activation energy for diffusion, have been compared with the computed results.…”
Section: Introductionmentioning
confidence: 99%