Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2022Correlation between two- and three-dimensional crystallographic lattices for epitaxial analysis. II. Experimental results3citations
  • 2021Automatic indexing of two-dimensional patterns in reciprocal spacecitations

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Otto, Felix
1 / 13 shared
Sojka, Falko
2 / 2 shared
Domke, Jari
2 / 2 shared
Hofmann, Oliver T.
1 / 3 shared
Jeindl, Andreas
1 / 1 shared
Gruenewald, Marco
1 / 7 shared
Forker, Roman
2 / 11 shared
Fritz, Torsten
2 / 15 shared
Knez, Daniel
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2022
2021

Co-Authors (by relevance)

  • Otto, Felix
  • Sojka, Falko
  • Domke, Jari
  • Hofmann, Oliver T.
  • Jeindl, Andreas
  • Gruenewald, Marco
  • Forker, Roman
  • Fritz, Torsten
  • Knez, Daniel
OrganizationsLocationPeople

article

Automatic indexing of two-dimensional patterns in reciprocal space

  • Sojka, Falko
  • Domke, Jari
  • Simbrunner, Josef
  • Forker, Roman
  • Fritz, Torsten
  • Knez, Daniel
Abstract

<p>An indispensable part of the structure determination of crystalline two-dimensional (2D) materials and epitaxial thin films is the correct indexing of the acquired diffraction patterns. In our previous work, we described an effective algorithm to determine the 3D unit-cell parameters of complex systems comprising different orientations and polymorphs. In this work, we adapt the indexing method to 2D lattices in reciprocal space. Analyzing low-energy electron diffraction and Fourier-transformed scanning tunneling microscopy measurements, the method is exemplarily applied to thin films of conjugated molecules like 3,4:9,10-perylenetetracarboxylic dianhydride (PTCDA), 6,13-pentacenequinone (P2O), and vanadyl phthalocyanine (VOPc) grown by physical vapor deposition on Ag(111). In all cases unit cells (rhomboids) along with their sixfold rotationally or mirror symmetric counterparts are determined. The already known commensurate epitaxial relationship is reproduced for PTCDA on Ag(111), demonstrating the validity of our method. In the case of P2O/Ag(111) a point-on-line epitaxial condition is found. Our algorithm can be equally well applied to all kinds of 2D patterns in reciprocal space where a crystallographic indexing is required, e.g., electron diffraction data [such as transmission electron diffraction, selected area electron diffraction (SAED)] and fast Fourier transforms (FFTs) of scanning probe images. To demonstrate this aspect, we evaluate FFTs of scanning tunneling microscopy data for stacked VOPc/PTCDA heteroepitaxial layers on Ag(111) as well as SAED data of an epitaxial TiO2/LaAlO3(100) heterostructure in cross section.</p>

Topics
  • impedance spectroscopy
  • thin film
  • electron diffraction
  • physical vapor deposition
  • two-dimensional
  • scanning tunneling microscopy