Quasicontinuum Monte Carlo Simulation of Multilayer Surface Growth

  • Jason P. DeVita
  • Leonard M. Sander
  • Peter Smereka
Conference paper
Part of the ISNM International Series of Numerical Mathematics book series (ISNM, volume 149)


We develop a method, for simulating epitaxial growth, based on coarse graining (in time) the evolution equations of the probability functions for Kinetic Monte Carlo. Our approach has the advantages offered by continuum methods but still retains enough of the fluctuations to offer good physical fidelity. We have compared our method to KMC in a number of situations and found good agreement.


Epitaxial Growth Kinetic Monte Carlo Quasicontinuum 


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Copyright information

© Birkhäuser Verlag Basel/Switzerland 2005

Authors and Affiliations

  • Jason P. DeVita
    • 1
  • Leonard M. Sander
    • 2
  • Peter Smereka
    • 3
  1. 1.Department of PhysicsUniversity of MichiganAnn ArborUSA
  2. 2.Department of Physics and Michigan Center for Theoretical PhysicsUniversity of MichiganAnn ArborUSA
  3. 3.Department of Mathematics and Michigan Center of Theoretical PhysicsUniversity of MichiganAnn ArborUSA

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