About: Stochastic Equations for Simple Discrete Models of Epitaxial Growth.     Goto   Sponge   NotDistinct   Permalink

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  • We derive continuous stochastic equations governing the asymptotic behavior of growth from a master equation for discrete growth models with local relaxation. We consider several simple models of epitaxial growth (the Family, the Wolf-Villain, and the Das SarmaůTamborenea models and their modifications). In 111 dimensions, we derive, for each model, the corresponding Langevin equation and identify leading terms that determine the universality class. Our results for models with local relaxation are in agreement with recent computer simulations. The applicability of the method in 211 dimensions is demonstrated in the case of the Family model. Problems of the procedure, in particular regularization in the continuous limit, are discussed.
  • We derive continuous stochastic equations governing the asymptotic behavior of growth from a master equation for discrete growth models with local relaxation. We consider several simple models of epitaxial growth (the Family, the Wolf-Villain, and the Das SarmaůTamborenea models and their modifications). In 111 dimensions, we derive, for each model, the corresponding Langevin equation and identify leading terms that determine the universality class. Our results for models with local relaxation are in agreement with recent computer simulations. The applicability of the method in 211 dimensions is demonstrated in the case of the Family model. Problems of the procedure, in particular regularization in the continuous limit, are discussed. (en)
Title
  • Stochastic Equations for Simple Discrete Models of Epitaxial Growth.
  • Stochastic Equations for Simple Discrete Models of Epitaxial Growth. (en)
skos:prefLabel
  • Stochastic Equations for Simple Discrete Models of Epitaxial Growth.
  • Stochastic Equations for Simple Discrete Models of Epitaxial Growth. (en)
skos:notation
  • RIV/67985858:_____/96:27020040!RIV/2003/AV0/A27003/N
http://linked.open.../vavai/riv/strany
  • 3933;3942
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(IAA1010513), Z(AV0Z1010914), Z(AV0Z4072921)
http://linked.open...iv/cisloPeriodika
  • 4
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 836349
http://linked.open...ai/riv/idVysledku
  • RIV/67985858:_____/96:27020040
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http://linked.open.../riv/klicovaSlova
  • stochastic; epitaxial; growth (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [FA79CB802217]
http://linked.open...i/riv/nazevZdroje
  • Physical Review E
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...ocetUcastnikuAkce
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 54
http://linked.open...iv/tvurceVysledku
  • Předota, Milan
  • Kotrla, Miroslav
http://linked.open...n/vavai/riv/zamer
issn
  • 1063-651X
number of pages
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