- Independent Research Units
Independent Research Units
The main research interests are the structure and dynamics of hydrogen bonded, neutral clusters: methanol, ammonia, and water. The speciality of the group is the size selection of the clusters. Up to n=12 this is carried out by momentum transfer in collisions with rare gas atoms. For large clusters, the method of doping the clusters with sodium is applied. With these clusters ambitious spectroscopic experiments as well as scattering and dissociation processes have been measured. Very recently the transition to crystalline ice was observed at n=475.
The research of our group focusses on the nature of turbulent flows, in particular, the physics of turbulent thermal convection. This includes the investigation of natural, forced and mixed convection; coherent flow structures, boundary layer structures, small-scale turbulence in buoyancy-driven flows; the influence of rotation, non-Oberbeck-Boussinesq effects, non-monotonic fluid properties, wall roughness and domain geometry on turbulent convection. Apart from the physics of turbulence itself, we are also interested in the numerical issues and aspects of turbulence simulations.
Research interests in natural and applied sciences and engineering include in particular the large-scale oceanic circulation, wind chill effects in hot and cold regions, supergranulation in the solar upper convective zone, heat and mass transfer in nanofluids, surface-tension-driven convection and vibration-induced convection in low gravity, improvement of the efficiency of technological heating and cooling processes, control of ventilation processes in living quarters and in transport.
We aim towards a fundamental understanding of the structure and dynamics of complex networks in physics and biology as well as engineered and social networks. We focus on computation in and control of networked systems, particularly neural circuits and power grids; moreover, the inference of network structures as well as their optimal design constitute basic research questions. We often develop mathematical tools required for understanding these highly complex systems. The Network Dynamics team works on foundations and applications in the areas of computational neuroscience, computer science, statistical physics of disordered systems, artificial neural networks and robotics, and, more recently, gene evolution and power grids and, most recently, complex human interaction networks.