2001
DOI: 10.1063/1.1392975
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Strain and composition distribution in uncapped SiGe islands from x-ray diffraction

Abstract: We have investigated the strain and composition distribution in uncapped SiGe islands grown on Si (001) by x-ray diffraction. In order to be sensitive to the dot layer on the sample surface, and at the same time being able to measure in-plane strain and strain in growth direction, we utilized a scattering geometry at grazing incidence angles, but with high exit angles. The measured intensity distribution is compared to simulations based on the strain distribution calculated by a finite element method. Although… Show more

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Cited by 61 publications
(45 citation statements)
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“…Qualitatively similar experimental results (exhibiting highly alloyed nanostructures, especially in the lower and central parts of the islands) have been also obtained by other authors using different experimental techniques [50,[52][53][54][55][56][57][58].…”
Section: Experimental Results Reporting Si-rich Coressupporting
confidence: 74%
“…Qualitatively similar experimental results (exhibiting highly alloyed nanostructures, especially in the lower and central parts of the islands) have been also obtained by other authors using different experimental techniques [50,[52][53][54][55][56][57][58].…”
Section: Experimental Results Reporting Si-rich Coressupporting
confidence: 74%
“…X-ray reciprocal space mapping has already been used to study self-assembled islands, mainly using strain models to reproduce the intensity maps [4,5]. Here grazing incidence diffraction was used in combination with x-ray reciprocal space mapping to infer the three-dimensional strain and chemical status of InGaAs islands.…”
Section: Ga Interdiffusion Inside Inas Dotsmentioning
confidence: 99%
“…However, the SiGe nanoclusters formed from this method need to be characterized for device applications. Different characterization techniques have been used in order to determinate the nanoisland parameters as composition, strain and growth dynamic [13][14][15]. The most popular characterization techniques used to this goal are x-ray, Raman and Atomic Force Microscopy (AFM).…”
Section: Introductionmentioning
confidence: 99%