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Analysis of Dislocations in Quasicrystals Composed of Self-assembled Nanoparticles

  • Liron Korkidi
  • Kobi Barkan
  • Ron LifshitzEmail author

Abstract

We analyze transmission electron microscopy (TEM) images of self-assembled quasicrystals composed of binary systems of nanoparticles. We use an automated procedure that identifies the positions of dislocations and determines their topological character. To achieve this, we decompose the quasicrystal into its individual density modes, or Fourier components, and identify their topological winding numbers for every dislocation. This procedure associates a Burgers function with each dislocation, from which we extract the components of the Burgers vector after choosing a basis. The Burgers vectors that we see in the experimental images are all of lowest order, containing only 0s and 1s as their components. We argue that the density of the different types of Burgers vectors depends on their energetic cost.

Keywords

Burger Vector Bragg Peak Density Mode Bright Ring Topological Character 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

We are very grateful to Dmitri Talapin for providing the TEM images. This research is supported by the Israel Science Foundation through grant No. 556/10.

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Raymond and Beverly Sackler School of Physics and AstronomyTel Aviv UniversityTel AvivIsrael

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