research papers
Grazing-incidence small-angle X-ray scattering from Ge nanodots self-organized on Si(001) examined with soft X-rays
aGraduate School of Engineering, Kyoto University, Yoshida Honmachi, Kyoto 606-8501, Japan, bDepartment of Materials Science and Engineering, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto 606-8501, Japan, cInstitute for Materials Research, Tohoku University, 2-1-1 Katahira, Sendai 980-8577, Japan, dPhoton Factory, High Energy Accelerator Research Organization, Oho, Tsukuba 305-0801, Japan, and eJASRI, SPring-8, Kohto, Sayo 679-5198, Japan
*Correspondence e-mail: okuda.hiroshi.5a@kyoto-u.ac.jp
Grazing-incidence small-angle X-ray scattering (GISAXS) measurements with soft X-rays have been applied to Ge nanodots capped with a Si layer. Spatially anisotropic distribution of nanodots resulted in strongly asymmetric GISAXS patterns in the qy direction in the soft X-ray region, which have not been observed with conventional hard X-rays. However, such apparent differences were explained by performing a GISAXS intensity calculation on the i.e. taking the curvature of into account.
Keywords: grazing-incidence small-angle X-ray scattering (GISAXS); soft X-ray; Ge nanodot; Si K absorption edge.
1. Introduction
Grazing-incidence small-angle X-ray scattering (GISAXS) measurements, mostly made with hard X-rays (HX), have been used to examine the nanostructure of materials (Renaud et al., 2009) such as metallic nanoparticles (Levine et al., 1989), self-organized polymer films (Lee et al., 2005; Busch et al., 2007; Müller-Buschbaum, 2013) and semiconducting or metallic materials (Li et al., 2002; Rauscher et al., 1999; Metzger et al., 1999; Schmidbauer et al., 1999). In situ two-dimensional GISAXS measurement is a powerful tool for examining the kinetics of self-organization or phase transformation occurring in thin films (Gibaud et al., 2003). Extension of GISAXS measurements into the soft X-ray (SX) region (e.g. Okuda et al., 2009, 2011) is a profitable approach because better and use of of light elements such as Si and P, i.e. element-sensitive analysis for light elements, are expected. However, this approach is not yet popular due to some technical difficulties in measurements and analysis. For GISAXS measurements in the SX region, the equipment and sample should be placed in a vacuum, and the large curvature of the may give an apparent distortion of the GISAXS pattern when measurements are made with a fixed angle of incidence and using two-dimensional detectors such as image plates or charge coupled devices, whose use is necessary for in situ measurements.
From our previous work on GISAXS analysis with hard X-rays, the shape of the Si-capped Ge nanodots used in the present work was isotropic in the in-plane direction (Okuda et al., 2002, 2010), showing the same gyration radius in the in-plane direction and without any streaks originating from facets. This is reasonable since the surface diffusion during the initial stage of growing the cap layer is known to induce alloying with the nanodot layer even at very low growth temperatures, which often results in loss of facet structure and relating shape change of nanodots (Kubler et al., 1998; Petz & Floro, 2011). When GISAXS measurements were made with both soft and hard X-rays for Ge nanodots self-organized by molecular beam (MBE), the patterns were similar and the difference in the GISAXS patterns was explained by the refractive indices and also by a small effect of the curvature of the from simulations using the distorted wave Born approximation (DWBA) (Okuda et al., 2009). In the present work, GISAXS patterns for small Ge nanodots grown by gas-source MBE capped with Si have been examined with soft and hard X-rays and a model calculated based on the DWBA.
2. Experimental
The samples used in the present measurements were grown by gas-source MBE on a Si (001) substrate for a single layer of nanodots and capped with a Si layer (Okuda et al., 2010). The thickness of the cap layer determined by reflectivity was 40.1 nm. GISAXS measurements were conducted with photon energies of 1.77 keV at BL11B of the Photon Factory (Okuda et al., 2009) and 12.4 keV at BL03XU of SPring-8 (Ogawa et al., 2013). Image plates were used in both measurements. The change in the GISAXS patterns with in-plane rotation was recorded every 22.5° for 1.77 keV energy and every 2° for 12.4 keV.
3. Results and discussions
The GISAXS patterns obtained at 1.77 keV (SX) and 12.4 keV (HX) are shown in Fig. 1. They show two common characteristics. One is a strong streak extending in the qz direction at qy = 0.0 nm−1. This component corresponds to diffuse scattering from the sample surface and the cap/nanodots and nanodots/substrate interfaces. The other is a pair of peaks at qy ≃ ±0.2 nm−1, which correspond to the interparticle distance between the Ge nanodots. For 12.4 keV, the interparticle interference peaks extend in the qz direction. On the other hand, the peaks bend inward at large qz, particularly for the pattern at 22.5° with asymmetric distortion with respect to the qz axis for 1.77 keV. Such distortion from what is expected by a straight section of the intensity in the might be observed when the effect of the curvature of the is not negligible. The effect of the is known to become apparent for GISAXS of gratings (Yan & Gibaud, 2007), where well defined alignment of artificial nanostructure is sensitive to the deviation from the Bragg condition. Generally, such an effect is not appreciable for small-angle scattering of self-organized nanostructures where the spatial alignment, or the is to some extent disordered. A SAXS pattern recorded with a two-dimensional detector usually represents an intensity map on the qy–qz plane in such cases. However, with a photon energy of 1.77 keV, i.e. with a seven times longer wavelength than conventional GISAXS, a with one-seventh of the radius of that for hard X-rays is no longer approximated by a plane even in the small-angle region.
The size obtained by Guinier approximation from GISAXS patterns at 12.4 keV was 8.1 ± 0.3 nm regardless of the in-plane incidence angle, φ, and that obtained from the profiles at 1.77 keV was 8.2 nm. The sizes agreed with each other, suggesting that the form factors of the nanodots obtained for hard and soft X-rays at small q essentially agree.
Fig. 2(a) shows the change in a GISAXS pattern with in-plane rotation at 12.4 keV. The in-plane peak position, qm, decreased with increasing in-plane rotation angle, φ, from [100] incidence of X-rays, and reached a minimum at [110] incidence. The average distance between Ge nanodots (L) is evaluated by
The distance was fit by the following equation,
This implies that the spatial distribution of Ge nanodots on the substrate possesses fourfold symmetry as shown in Fig. 3. Such an effect can be explained in terms of elastic anisotropy of Si (Wortman & Evans, 1965; Brantley, 1973). In contrast, no appreciable anisotropy was observed for the gyration radius. Therefore, the present results suggest that the shape of the nanodots is isotropic in the in-plane direction but they are aligned preferentially along the main direction of Si 〈100〉, as sketched in Fig. 3. Considering that the elastic anisotropy is strong enough to result in anisotropic alignment, it is suggested that the anisotropy in the shape of the nanodots disappeared during growth of the Si cap layer (Schmidt & Eberl, 2000).
To demonstrate the GISAXS patterns in both energy regions and discuss the effects of et al., 1988). From a kinematical analysis of the GISAXS patterns as shown above, the shape of the Ge nanodots was modelled by flat domes of average height 2.2 nm and base radius 13.4 nm, as F2(q) (Ogawa et al., 2005), whose shape was described by half an ellipsoid. The spatial alignment of the Ge nanodots was modelled as a S(q), aligning with fourfold symmetry and with Gaussian distance distribution using a paracrystal model with σ = 0.2, L = 32.0 nm, as schematically shown in Fig. 3 (Lazzari, 2002). The scattering intensity under the Born approximation is written as IB(q) = F2(q)S(q). The layer parameters necessary for DWBA calculations were obtained from a least-squares fitting of the specular reflectivity. Roughnesses of 0.9 nm for the surface and 0.6 nm for the interface were obtained from the fitting (Okuda et al., 2010).
curvature, a model calculation was made with the DWBA (SinhaFig. 4 shows simulated GISAXS patterns for both soft and hard X-rays. It turned out that the dynamical effect added by the DWBA is apparent only near the Yoneda line, and does not affect the profile at higher qz in the present case, in contrast to the case (Busch et al., 2007), where refracted beams generate additional Bragg spots or Debye rings from microphase-separated structures which alter the scattering profiles at moderately high qz. Therefore, the characteristics of the present simulated patterns were understood by an intensity mapping of IB(q) on the In the HX region, the is approximated by a plane in the small-angle region, and therefore scattering patterns were similar to a cut of IB(q) on, for example, the qy–qz plane giving a symmetric GISAXS pattern. For hard X-rays, as shown in Figs. 4(c) and 4(d), the pair of straight interparticle interference peaks observed in the experiment was reproduced. The intensity for qy > 0 is slightly stronger than that for qy < 0, which agrees with Fig. 1(d), suggesting that a small effect can be detected even for hard X-rays under certain conditions. In contrast, the cannot be approximated by a plane for soft X-rays, and the intensity distribution needs to be calculated on the Under such conditions the GISAXS pattern gave a symmetric distortion, showing typical narrowing of interparticle interference peaks at higher qz when the in-plane structure was isotropic (Okuda et al., 2009). Considering an anisotropic distribution of nanodots as discussed in the present work, the simulated intensity gave asymmetrically bent patterns with uneven maximum intensity, whose patterns agreed with the experiments. The only difference between the calculated patterns and the measurement is that a peak appears at qy = 0 with higher qz of about 2 nm−1 only in the calculation. A large curvature of the results in the scattering vector coming closer to the neighbouring interparticle interference peaks at large qz even in the small-angle region. This causes an apparent increase in the scattering intensity around qz ≃ 2 nm−1, and the increase in the interparticle interference peak at qz ≃ 2 nm−1 is explained by this effect. The absence of a peak at qy = 0 in the measured pattern, in contrast, implies that the domain size where Ge nanodots are aligned on a square lattice is larger in only one of the two in-plane [100] directions, and the peak of the structure function for 100, giving interparticle interference, is much stronger than that for 010, which gives a peak at qy = 0 nm−1 and qz = 2 nm−1. This model is reasonable considering atomic force microscopy and GISAXS observations showed that one-dimensional nanodot arrays were often observed for large nanodots (Schmidbauer et al., 1999, 2002).
4. Conclusions
The effect of the curvature of the qz were observed for SX. From a DWBA model calculation, the characteristic patterns for SX were explained using the same IB(q) as that for HX. The differences in the scattering patterns between the profiles for the two X-ray regions were explained by the curvature of the It was concluded that GISAXS patterns with soft X-rays sometimes appear quite different from those with conventional hard X-rays, but they are quantitatively analyzed with the same structure model with different effects of the curvature of the The present results also imply that a direct approach for intensity mapping on the will be an important tool for making full use of coherence imaging in the SX region.
on GISAXS patterns has been demonstrated by comparing the GISAXS intensities for Si-capped Ge nanodots self-organized on Si(001) for 1.77 keV (SX) and 12.4 keV (HX). Asymmetrically bent patterns and an intensity maximum at largeAcknowledgements
The GISAXS measurements were performed under proposal Nos. 2011A7297 and 2012B1950 at SPring-8, and 2010G075 and 2012G714 at the Photon Factory, Tsukuba Japan. Part of the present work was supported by a Grant-in-Aid for scientific research under proposal No. 22651034.
References
Brantley, W. A. (1973). J. Appl. Phys. 44, 534. CrossRef Web of Science Google Scholar
Busch, P., Posselt, D., Smilgies, D., Rauscher, M. & Papadakis, C. M. (2007). Macromolecules, 40, 630–640. Web of Science CrossRef CAS Google Scholar
Gibaud, A., Grosso, D., Smarsly, B., Baptiste, A., Bardeau, J. F., Babonneau, F., Doshi, D. A., Chen, Z., Brinker, C. J. & Sanchez, C. (2003). J. Phys. Chem. B, 107, 6114–6118. Web of Science CrossRef CAS Google Scholar
Kubler, L., Dentel, D., Bischoff, J. L., Ghica, C., Ulhaq-Bouillet, C. & Werckmann, J. (1998). Appl. Phys. Lett. 73, 1053. Web of Science CrossRef Google Scholar
Lazzari, R. (2002). J. Appl. Cryst. 35, 406–421. Web of Science CrossRef CAS IUCr Journals Google Scholar
Lee, B., Park, I., Yoon, J., Park, S., Kim, J., Kim, K., Chang, T. & Ree, M. (2005). Macromolecules, 38, 4311–4323. Web of Science CrossRef CAS Google Scholar
Levine, J. R., Cohen, J. B., Chung, Y. W. & Georgopoulos, P. (1989). J. Appl. Cryst. 22, 528–532. CrossRef CAS Web of Science IUCr Journals Google Scholar
Li, J. H., Holý, V., Meduna, M., Moss, S. C., Norman, A. G., Mascarenhas, A. & Reno, J. L. (2002). Phys. Rev. B, 66, 115312. Web of Science CrossRef Google Scholar
Metzger, T. H., Kegel, I., Paniago, R. & Peisl, J. (1999). J. Phys. D, 32, A202–A207. CrossRef CAS Google Scholar
Müller-Buschabum, P. (2013). Polymer J. 45, 34–42. Google Scholar
Ogawa, H. et al. (2013). Polymer J. 45, 109–116. CrossRef CAS Google Scholar
Ogawa, T., Niwa, H., Okuda, H. & Ochiai, S. (2005). Mater. Sci. Forum, 475–479, 1097–1100. CrossRef CAS Google Scholar
Okuda, H., Kato, M., Kuno, K., Ochiai, S., Usami, N., Nakajima, K. & Sakata, O. (2010). J. Phys. Condens. Matter, 22, 474003. Web of Science CrossRef PubMed Google Scholar
Okuda, H., Kato, M., Ochiai, S. & Kitajima, Y. (2009). Appl. Phys. Express, 2, 126501. Web of Science CrossRef Google Scholar
Okuda, H., Ochiai, S., Ito, K. & Amemiya, Y. (2002). Appl. Phys. Lett. 81, 2358–2360. Web of Science CrossRef CAS Google Scholar
Okuda, H., Takeshita, K., Ochiai, S., Sakurai, S. & Kitajima, Y. (2011). J. Appl. Cryst. 44, 380–384. Web of Science CrossRef CAS IUCr Journals Google Scholar
Petz, C. W. & Floro, J. A. (2011). J. Appl. Phys. 110, 023508. Web of Science CrossRef Google Scholar
Rauscher, M., Paniago, R., Metzger, H., Kovats, Z., Domke, J. & Peisl, J. (1999). J. Appl. Phys. 86, 6763–6769. Web of Science CrossRef CAS Google Scholar
Renaud, G., Lazzari, R. & Leroy, F. (2009). Surf. Sci. Rep. 64, 255–380. Web of Science CrossRef CAS Google Scholar
Schmidbauer, M., Hanke, M. & Köhler, R. (2002). Cryst. Res. Technol. 37, 3–34. Web of Science CrossRef CAS Google Scholar
Schmidbauer, M., Wiebach, T., Raidt, H., Hanke, M., Köhler, R. & Wawra, H. (1999). J. Phys. D, 32, A230–A233. CrossRef CAS Google Scholar
Schmidt, O. G. & Eberl, K. (2000). Phys. Rev. B, 61, 13721–13729. CrossRef CAS Google Scholar
Sinha, S. K., Sirota, E. B., Garoff, S. & Stanley, H. B. (1988). Phys. Rev. B, 38, 2297–2312. CrossRef Web of Science Google Scholar
Wortman, J. J. & Evans, R. A. (1965). J. Appl. Phys. 36, 153. CrossRef Web of Science Google Scholar
Yan, M. & Gibaud, A. (2007). J. Appl. Cryst. 40, 1050–1055. Web of Science CrossRef CAS IUCr Journals Google Scholar
© International Union of Crystallography. Prior permission is not required to reproduce short quotations, tables and figures from this article, provided the original authors and source are cited. For more information, click here.