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Dionisios Margetis
Department of Mathematics, MIT
October 27, 2004
| Toward
a Unified Continuum Theory of Crystal Surface Morphological
Relaxation Below Roughening |
Advances in fabrication of small devices have stimulated interest
in low-temperature kinetic processes on crystal surfaces. In most
experimental situations, nanoscale solid structures decay in time
with a lifetime that typically is a large power of the feature size
and increases with decreasing temperature. Strategies for skirting
the lifetime limitations involve processing at ever-lower temperatures
for ever-smaller feature sizes. At temperatures below the roughening
transition crystal surfaces evolve via the motion of interacting steps
at the nanoscale, and may develop macroscopically flat parts known
as facets. The study of surface evolution at such temperatures is
an area of active research.
The subject of this talk is a description of the morphological relaxation
of three-dimensional crystal surfaces below the roughening temperature
by use of continuum equations derived from discrete step-flow models.
For isotropic diffusion of point defects (``adatoms'') across each
terrace and attachment-detachment of atoms at each step, the geometry
of steps causes diffusion-induced lateral flows of adatoms parallel
to steps that can be distinctly different from flows transverse to
steps. A partial differential equation (PDE) is derived for the height
profile that apparently unifies via scaling arguments experimental
observations of decaying biperiodic surface corrugations via an interplay
of step energetics, kinetics, and geometry. For axisymmetric crystals
with a facet, the facet evolution is treated as a free-boundary problem
recognizing that there is a region of rapid variations of the slope,
a boundary layer, near the facet. For long times, singular perturbation
theory is applied for self-similar shapes close to the facet to derive
from the PDE simple scaling laws with the step energy parameters for
the boundary layer width, maximum slope and facet radius. These scaling
results compare favorably with kinetic simulations.
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