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Facet-Stress-Driven Ordering in SiGe Nanoislands<br />
G.E. Vantarakis, 1,2 I.N. Remediakis 1 and P.C. Kelires 2,3*<br />
1<br />
Department of Materials Science and Technology, University of Crete, P.O. Box 2208, 71003 Heraclion, Crete, Greece<br />
2 Department of Mechanical Engineering & Materials Science and Technology, Cyprus University of Technology,<br />
P.O. Box 50329, 3036 Limassol, Cyprus<br />
3 Department of Physics, University of Crete, P.O. Box 2208, 71003 Heraklion, Crete, Greece<br />
* kelires@physics.uoc.gr<br />
SiGe nanoislands, which appear during Ge on Si(100) heteroepitaxy, have attracted considerable attention because of<br />
potential applications in optoelectronics, such as in light-emitting devices. One of the crucial factors which dictate the optical<br />
properties of these nanoislands is their chemical composition. In particular, it is essential to know and, if possible, to have<br />
control over the distribution of species in the interior, in order to optimize the optical efficiency. It is expected that the<br />
strength of optical transitions would be higher in case of ordered domains in the islands (i.e. with Si and Ge atoms distributed<br />
in ordered phases), rather than in domains with random distributions.<br />
There could be two possible factors which influence the composition profiles of SiGe nanoislands. (a) The profile is<br />
driven by bulk equilibrium thermodynamics, which would give rise to a random distribution (SiGe is an ideal random alloy in<br />
bulk form). (b) The profile is driven by surface equilibrium. Diffusion is fast at the near-surface region, equilibrium<br />
distribution is established and maintained when surface layers are buried under further material deposition. However, we<br />
could have a combination of these two generic mechanisms.<br />
Driven by these concepts, we explore in this work the effect of reconstructed island surfaces (facets) on the equilibrium<br />
distribution of species. Reconstructions, in general, generate huge stress fields in the subsurface region, which influence the<br />
site-specific occupancy. We examine the three most important island facet orientations (see “Fig. 1”): {105}, {113},<br />
{15 3 23}, each having its own characteristic reconstruction. For the equilibrium structure, we use novel Monte Carlo<br />
simulations [1] within the empirical potential approach. We run the simulations at rather low temperatures to get the<br />
maximum of the effect.<br />
(a)<br />
(b)<br />
Fig. 1: A multifaceted dome structure showing<br />
the three facet orientations.<br />
(a) top view<br />
(b) side view<br />
Fig. 2: Local ordered geometries<br />
in Si 0.5 Ge 0.5 {15 3 23} surface.<br />
White represents either non-four-fold atoms or sites that<br />
do not show preference for a particular local geometry.<br />
Light, dark and darkest gray represents atoms with a<br />
preference for having one, two or three atoms of the<br />
same kind, respectively.<br />
We find that indeed the stress field of all three facets, especially of the {15 3 23} facet, is quite large, approaching in<br />
some subsurface sites the values of 7-8 GPa. The strong stress fields drive preferential occupation of certain sites near the<br />
surface. Seen at a larger scale, we observe a tendency of Si and Ge atoms to order, mostly in rhombohedral-type structures, as<br />
shown in “Fig. 2”. These ordered structures appear within a thin layer of ~ 0.7 nm just below the surface. This is the range<br />
within which the reconstruction strain field is significant, showing the link between stress field and compositional ordering.<br />
We propose that subsequent deposition buries the ordered structures which are frozen-in, while the deposited material is<br />
driven to ordering by the newly formed surface. These results might explain recent experimental observations [2] of ordering<br />
in SiGe nanoislands. Although not shown directly in this work, the experimental ordered profiles could be the result of a<br />
cooperative effect between the above mentioned three facet subsurface structures.<br />
[1] G. Hadjisavvas and P.C. Kelires, Phys. Rev. B 72 (2005) 075334.<br />
[2] A. Malachias et al., Phys. Rev. B 72 (2005) 165315.<br />
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