2021
DOI: 10.3390/cryst11080905
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Impact of Long-Term Annealing on Photoluminescence from Ge1−xSnx Alloys

Abstract: We report on the connection between strain, composition, defect density and the photoluminescence observed before and after annealing at 300 °C for GeSn samples with Sn content of 8% to 10%. Results show how the composition and level of strain influenced the separation between the indirect and direct optical transitions, while changes in the level of strain also influenced the density of misfit dislocations and surface roughness. The effect of annealing is observed to lower the level of strain, decreasing the … Show more

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Cited by 8 publications
(3 citation statements)
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“…The 3D SRO mapping shows a relatively large fluctuation of Sn-Sn 1NN SRO parameter Sn Sn KNN α − from 0.85 to 1.15. This Sn-Sn 1NN SRO fluctuation in GeSn, together with the theoretical prediction of large band structure variation with SRO, [3] contributes to the bandedge softening compared to pure Ge, as commonly observed in GeSn absorption spectra as well as PL peak width >> k B T thermal broadening even at 10 K. [34][35][36][37] The SRO mapping also indicates more preference toward Sn-Sn clustering near the surface, consistent with the tendency of Sn surface segregation. Furthermore, the SRO mapping shows that compressive strain tends to favor Sn-Sn 1NN, indicating that strain relaxation or tensile strain helps to prevent undesirable Sn-Sn clustering or segregation.…”
Section: Discussionsupporting
confidence: 78%
See 1 more Smart Citation
“…The 3D SRO mapping shows a relatively large fluctuation of Sn-Sn 1NN SRO parameter Sn Sn KNN α − from 0.85 to 1.15. This Sn-Sn 1NN SRO fluctuation in GeSn, together with the theoretical prediction of large band structure variation with SRO, [3] contributes to the bandedge softening compared to pure Ge, as commonly observed in GeSn absorption spectra as well as PL peak width >> k B T thermal broadening even at 10 K. [34][35][36][37] The SRO mapping also indicates more preference toward Sn-Sn clustering near the surface, consistent with the tendency of Sn surface segregation. Furthermore, the SRO mapping shows that compressive strain tends to favor Sn-Sn 1NN, indicating that strain relaxation or tensile strain helps to prevent undesirable Sn-Sn clustering or segregation.…”
Section: Discussionsupporting
confidence: 78%
“…Our study shows that αSnSn1NN fluctuates between 0.85 and 1.15 in different regions. This Sn–Sn 1NN SRO fluctuation in GeSn, together with the theoretical prediction of large band structure variation with SRO, contributes to the band edge softening compared to pure Ge, as commonly observed in GeSn absorption spectra as well as photoluminescence (PL) peak width >> k B T thermal broadening even at 10 K. [ 34–37 ] The mean value of αSnSn1NN decreases from 1.052 ± 0.051 to 1.026 ± 0.045 as the depth increase from 150 to 800 nm under the surface, with eighteen, 10 nm × 10 nm × 10 nm nanocubes examined at each depth. These results indicate more preference toward Sn–Sn clustering near the surface, consistent with the tendency of Sn surface segregation.…”
Section: Introductionmentioning
confidence: 88%
“…Photoluminescence is often used as a qualitative measure of material quality, but its strong dependencies on excitation conditions, optical throughput, and sample geometry largely prevents any widescale comparison of steady-state photoluminescence (SSPL) results between research groups. [6][7][8][9][10] The fundamental driver of photoluminescence output and thus a more quantifiable metric for optoelectronic quality is the minority carrier recombination lifetime of the photogenerated electron-hole pairs, a material property that can be most easily extracted from measurement of the time-resolved photoluminescence (TRPL) decay.…”
mentioning
confidence: 99%