Günther Doppelbauer

Vienna University of Technology, Vienna, Vienna, Austria

Are you Günther Doppelbauer?

Claim your profile

Publications (4)10.73 Total impact

  • Source
    Article: Competing ordered structures formed by particles with a regular tetrahedral patch decoration.
    Günther Doppelbauer, Eva G Noya, Emanuela Bianchi, Gerhard Kahl
    [show abstract] [hide abstract]
    ABSTRACT: We study the ordered equilibrium structures of patchy particles where the patches are located on the surface of the colloid such that they form a regular tetrahedron. Using optimization techniques based on ideas of evolutionary algorithms we identify possible candidate structures. We retain not only the energetically most favourable lattices but also include a few energetically less favourable particle arrangements (i.e., local minima on the enthalpy landscape). Using suitably developed Monte Carlo based simulation techniques in an NPT ensemble we evaluate the thermodynamic properties of these candidate structures along selected isobars and isotherms and identify thereby the respective ranges of stability. We demonstrate on a quantitative level that the equilibrium structures at a given state point result from a delicate compromise between entropy, energy (i.e., the lattice sum) and packing.
    Journal of Physics Condensed Matter 07/2012; 24(28):284124. · 2.55 Impact Factor
  • Source
    Article: Predicting patchy particle crystals: variable box shape simulations and evolutionary algorithms.
    [show abstract] [hide abstract]
    ABSTRACT: We consider several patchy particle models that have been proposed in literature and we investigate their candidate crystal structures in a systematic way. We compare two different algorithms for predicting crystal structures: (i) an approach based on Monte Carlo simulations in the isobaric-isothermal ensemble and (ii) an optimization technique based on ideas of evolutionary algorithms. We show that the two methods are equally successful and provide consistent results on crystalline phases of patchy particle systems.
    The Journal of chemical physics 06/2012; 136(21):214102. · 3.09 Impact Factor
  • Article: On the stability of Archimedean tilings formed by patchy particles.
    Moritz Antlanger, Günther Doppelbauer, Gerhard Kahl
    [show abstract] [hide abstract]
    ABSTRACT: We have investigated the possibility of decorating, using a bottom-up strategy, patchy particles in such a way that they self-assemble in (two-dimensional) Archimedean tilings. Except for the trihexagonal tiling, we have identified conditions under which this is indeed possible. The more compact tilings, i.e., the elongated triangular and the snub square tilings (which are built up by triangles and squares only) are found to be stable up to intermediate pressure values in the vertex representation, i.e., where the tiling is decorated with particles at its vertices. The other tilings, which are built up by rather large hexagons, octagons and dodecagons, are stable over a relatively large pressure range in the centre representation where the particles occupy the centres of the polygonal units.
    Journal of Physics Condensed Matter 09/2011; 23(40):404206. · 2.55 Impact Factor
  • Source
    Article: Self-assembly scenarios of patchy colloidal particles in two dimensions.
    Günther Doppelbauer, Emanuela Bianchi, Gerhard Kahl
    [show abstract] [hide abstract]
    ABSTRACT: We have investigated the self-assembly scenario of patchy colloidal particles in a two-dimensional system. The energetically most favourable ordered particle arrangements have been identified via an optimization tool that is based on genetic algorithms. Assuming different simple models for patchy colloidal particles, which include binary mixtures as well as attraction and repulsion between the patches, we could identify a broad variety of highly non-trivial ordered structures. The strategies of the systems to self-assemble become evident from a systematic variation of the pressure: (i) saturation of patch bonds at low pressure and close packing at high pressure and (ii) for intermediate pressure values, the strategy is governed by a trade-off between these two energetic aspects. The present study is yet another demonstration of the efficiency and the high reliability of genetic algorithms as versatile optimization tools.
    Journal of Physics Condensed Matter 03/2010; 22(10):104105. · 2.55 Impact Factor