• Title of article

    Ti adatom diffusion on TiN(001): Ab initio and classical molecular dynamics simulations

  • Author/Authors

    Sangiovanni، نويسنده , , D.G. and Edstrِm، نويسنده , , D. and Hultman، نويسنده , , L. and Petrov، نويسنده , , I. and Greene، نويسنده , , J.E. and Chirita، نويسنده , , V.، نويسنده ,

  • Issue Information
    هفته نامه با شماره پیاپی سال 2014
  • Pages
    8
  • From page
    34
  • To page
    41
  • Abstract
    Ab initio and classical molecular dynamics (AIMD and CMD) simulations reveal that Ti adatoms on TiN(001) surfaces migrate between neighboring fourfold hollow sites primarily along in-plane < 100 > channels. < 100 > and < 110 > single jumps, as well as < 100 > double jump rates, obtained directly from MD runs as a function of temperature, are used to determine diffusion activation energies Ea, and attempt frequencies A, for the three preferred Ti adatom migration pathways on TiN(001). From transition rates Aexp[− Ea / (kBT)], we determine adatom surface distribution probabilities as a function of time, which are used to calculate adatom diffusion coefficients Ds(T). AIMD and CMD predictions are consistent and complementary. Using CMD, we investigate the effect on the adatom jump rate of varying the phonon wavelength degrees of freedom by progressively increasing the supercell size. We find that long-wavelength phonons significantly contribute to increasing adatom mobilities at temperatures ≤ 600 K, but not at higher temperatures. Finally, by directly tracking the Ti adatom mean-square displacement during CMD runs, we find that Ti adatom jumps are highly correlated on TiN(001), an effect that yields lower Ds values (Dscorr) than those estimated from uncorrelated transition probabilities. The temperature-dependent diffusion coefficient is Dscorr (T) = (4.5 × 10− 4 cm2 s− 1) exp[− 0.55 eV / (kBT)].
  • Keywords
    nitrides , Molecular dynamics simulations , Density functional theory , surface diffusion
  • Journal title
    Surface Science
  • Serial Year
    2014
  • Journal title
    Surface Science
  • Record number

    1706473