2015
DOI: 10.1107/s1600576715005397
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Characterization of dislocations in germanium layers grown on (011)- and (111)-oriented silicon by coplanar and noncoplanar X-ray diffraction

Abstract: Strained germanium grown on silicon with nonstandard surface orientations like (011) or (111) is a promising material for various semiconductor applications, for example complementary metal-oxide semiconductor transistors. However, because of the large mismatch between the lattice constants of silicon and germanium, the growth of such systems is challenged by nucleation and propagation of threading and misfit dislocations that degrade the electrical properties. To analyze the dislocation microstructure of Ge f… Show more

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Cited by 11 publications
(14 citation statements)
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References 43 publications
(65 reference statements)
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“…However, the dislocations are still much less ordered than typically observed in other systems, where the correlation parameter c occurs much smaller than 1. 16,[38][39][40] Less correlated dislocation distribution in the present case can also be a consequence of the low growth temperature.…”
Section: Discussionmentioning
confidence: 89%
“…However, the dislocations are still much less ordered than typically observed in other systems, where the correlation parameter c occurs much smaller than 1. 16,[38][39][40] Less correlated dislocation distribution in the present case can also be a consequence of the low growth temperature.…”
Section: Discussionmentioning
confidence: 89%
“…In order to determine the dislocation density, analysis of the rocking curves shown in Figures 4 (a) -4(d) has been performed following the approach due to Kaganer et al [16,17]. This approach has been shown in previous works to yield very reliable estimates of dislocation density for GaN [18][19][20] and SiGe [21][22][23] epitaxial layers. Unlike in the more-widely-used Dunn and Koch method [35] (or the Williamson-Hall method [36]), which relies solely upon the FWHM value of a Gaussian distribution of the diffracted intensity, to determine the TDD by the Kaganer approach, the -rocking curves are fitted by [16] ( ) = ∫ (− 2 + ) cos( ) + ∞ 0 … … … (5) where and are the integrated peak intensity and the background intensity, respectively.…”
Section: Resultsmentioning
confidence: 98%
“…While this value is marginally lower than the measured -broadening of sample F (~ 0.07), it is up to an order of magnitude larger for the rest of the series. The estimate of the TDD is therefore likely to change only by a small factor, essentially via a change in the contrast factor (more appropriately, the 2x2 contrast matrix [21]). On the other hand, we have verified that both instrument-broadening and broadening due to the finite thickness of the samples are insignificant compared to the broadening introduced by the dislocations.…”
Section: Resultsmentioning
confidence: 99%
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