• Keine Ergebnisse gefunden

Local estimation of lattice parameters

N/A
N/A
Protected

Academic year: 2022

Aktie "Local estimation of lattice parameters"

Copied!
2
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

Local estimation of lattice parameters

T. Niermann, D. Plüschke, J.-B. Park, and M. Lehmann

Institut für Optik und Atomare Physik, Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin

niermann@physik.tu-berlin.de

Keywords: lattice parameter estimation, HREM, strain analysis, semiconductors

An essential element of many semiconductor-based optoelectronic devices like for example laser-diodes are low-dimensional heterostructures. For a deeper understanding of structure-related electronic and optic properties and a fine control of the grown structures, the assessment of composition and strain-state of such elements is inevitable.

Even if atomic resolution electron microscopy is the key technique for investigation of small structures, such quantities are not easily measured. With peak-fitting-methods [1, 2]

or the geometric-phase-analysis (GPA) [3], it is possible to measure local changes of the lattice parameters, from which strain and changes in composition can be derived. However, the task of assessing the local lattice parameters remains challenging as a high accuracy is needed: in the InxGa1-xAs-system for instance, a change of composition of 5% will result in a change of lattice parameters of only ~2 pm. Other sophisticated techniques deduce the local composition from different measurable quantities, e.g. CELFA [4] interprets the phase and amplitude of chemical-sensitive reflections in zinkblende materials.

Unfortunately, these techniques are either not applicable or are very difficult to apply on the wurtzite structure of Nitride-based semiconductors (at least for non-kinematic thicknesses). The pronounced non-centrosymmetry leads to a shift of lattice fringes in respect to the underlying lattice. This shift depends on the values of composition, thickness and defocus. Except for narrow windows of these parameters, this virtually renders peak-fitting unsuitable and causes different problems with the GPA.

The accuracy of lattice parameter estimation is ultimately limited by the instrument’s resolution, the signal-to-noise ratio, and the number of pixels in the area under investigation.

Since often it is sufficient to know the lattice parameters with a lateral resolution of a few nanometers, the area in which the parameters are estimated can be increased to several unit cells. This increases effectively the number of pixels analyzed.

We present a method, which is based on direct fitting of the lattice parameters of a small image region. The amplitude and phase of all reflections of the lattice are estimated for a given set of lattice parameters. These are the Fourier-coefficients of a pattern with lattice periodicity. Now the lattice parameters are varied until this pattern matches the investigated image area in a least-squares-sense. Since the information from all reflections is used, a larger accuracy is achieved compared to methods which only rely on the analysis of a single pair of reflections.

An example of such a fit of GaN is shown in figure 1. The residual, i.e. the experimental image with the fitted pattern subtracted, shows no remnants of the lattice periodicity; only the amorphous overlayers of the sample and the shot noise can be seen.

When this fit is be repeated for different (possibly overlapping) areas in the region of interest, a mapping of the local lattice parameters can be realized. Fig. 2 shows such a mapping for an InxGa1-xN-quantum well inside a GaN-matrix. Even if the quantum well cannot be seen in the HRTEM-micrograph by eye, it is clearly revealed by the lattice parameter analysis. Only the c-parameter (growth direction) is shown. The experimental image shown in both figures was obtained using a Tecnai F20 equipped with an image Cs- corrector operating at 200 kV located at the Triebenberg lab of TU Dresden.

M1.P311 - 47 - MC2009

W. Grogger, F. Hofer, P. Pölt (Eds.): MC2009, Vol. 3: Materials Science, DOI: 10.3217/978-3-85125-062-6-396 , © Verlag der TU Graz 2009

(2)

1. R. Bierwolf, M. Hohenstein, F. Phillipp, O. Brandt, G.E. Crook, K. Ploog, Ultramicroscopy 49 (1993), p. 273.

2. P. Jouneau, A. Tardot, G. Feuillet, H. Mariette, J. Cibert, J. Appl. Phys. 75 (1994), p. 7310

3. M. Hytch, E. Snoeck, R. Kilaas, Ultramicroscopy, 74 (1998), p. 131

4. A. Rosenauer, U. Fischer, D. Gerthsen, A. Förster, Ultramicroscopy 72 (1998), p.121.

5. This work is performed within the DFG collaborative research center SFB 787

“Halbleiter-Nanophotonik”.

Experimental Fit Residual

Figure 1. The upper row shows the fit area in the experimental image (see Fig. 2 for a larger region), the fitted lattice pattern and the residual of the fit. The lower row shows the respective FTs. The size of the investigated region is 2.4x2.4 nm2. The intensities of the experimental image and of the fit are equally scaled within each row.

2 nm

Figure 2. Lattice parameter mapping of an InxGa1-xN-quantum well in a GaN-matrix:

(a) HRTEM micrograph; (b) lattice parameter in c-direction. Each point represents the result of a fit like the one in Fig. 1.

516 pm 528 pm

(a) (b)

2 nm 2 nm

MC2009 - 48 - M1.P311

W. Grogger, F. Hofer, P. Pölt (Eds.): MC2009, Vol. 3: Materials Science, DOI: 10.3217/978-3-85125-062-6-396 , © Verlag der TU Graz 2009

Referenzen

ÄHNLICHE DOKUMENTE

The Walkabout class has just one method, visit, which takes an argument of type Object.. Replacing the reflection code with pseudo-code yields the informal description of the class

Here, we present the first chromosome-scale genome assembly of a plant adapted to the high Arctic, Draba nivalis (Brassicaceae), an attractive model species for study- ing

Cultures co-expressing HbpD-SpT2, HbpD-SpT2-LL or HbpD-SpT2-LL with BAM were incubated with SpC2-mScarlet or not to allow for coupling of the fluorescent protein to the

In our approach we have to synchronize the freight transport between these two networks: On the service network we search for future transport requests that

The starting distribution in the length classes of the matrix model is derived from average catch- 123 . per-unit effort data of the length-frequency distribution in gillnet

8 a set of six intensity maps taken for narrow energy windows at different binding energies, ranging from 0 meV (Fermi surface) to 400 meV... Other than in

The EPR zero-field splittings of Fe 3 + doped in MgTiO 3 and LiTaO 3 are studied bydiagonalizing the complete energymatrices of the electron-electron repulsion, ligand-field

b International Centre for Materials Physics, Chinese Academy of Science, Shenyang 110016, China Reprint requests to X.-Y. – PACS numbers: 71.70.Gm