Krüger, T.: Hybrid LB-FEM modeling of dense suspensions of deformable particles under shear. SFB TR6 Seminar, Institut für Theoretische Physik II, HHU Düsseldorf, Germany (2011)
Krüger, T.: Mesoscopic modeling of red blood cell dynamics. Oberseminar: Theorie komplexer Systeme WS 2010, Institut für Theoretische Physik, Universität Heidelberg, Germany (2010)
Krüger, T.: Mesoscopic Modeling of the dynamics of red blood cells. Seminar talk at Ruhr-Universität Bochum, Lehrstuhl für Biophysik, Bochum, Germany (2010)
Krüger, T.: Analyzing blood properties by simulating suspensions of deformable particles: Shear stress and viscosity behavior. ICAMS Scientific Retreat, Akademie Biggesee, Attendorn (2010)
Krüger, T.: Simulation of a dense suspension of red blood cells. TU Braunschweig, Institut für rechnergestützte Modellierung im Bauingenieurwesen, Braunschweig, Germany (2010)
Ayodele, S. G.; Varnik, F.; Raabe, D.: Transverse diffusive broadening in pressure driven microchannels: A lattice Boltzmann study of the scaling laws. The XVth International Congress on Rheology, Monterey, CA. USA (2008)
Varnik, F.; Raabe, D.: Finite size driven droplet evaporation and kinetics of droplets: A lattice Boltzmann study. Sommer Workshop on Nano-& Microfluidics, Bad-Honnef, Germany (2008)
Varnik, F.: Some micro- and nanofluidic issues using a free energy based lattice Boltzmann approach: Finite size driven droplet evaporation and wetting dynamics on chemical gradients. Seminar at MPI für Metallforschung, Stuttgart, Germany (2008)
Varnik, F.: Stability and kinetics of droplets. The 5th International Conference for Mesoscopic Methods in Engineering, Amsterdam, The Netherlands (2008)
Varnik, F.: Flows driven by wettability gradients: A lattice Boltzmann study. DPG Spring Meeting of the Condensed Matter Division, Berlin, Germany (2008)
Varnik, F.: Lattice Boltzmann studies of non-ideal fluids: Droplet coalescence and wetting gradientinduced motion. Institute for Computational Physics, University of Stuttgart, Stuttgart, Germany (2007)
Varnik, F.: Lattice-Boltzmann simulations of multi-phase and multi-component systems. Max-Planck Workshop Multiscale Materials Modelling, Sant Feliu de Guixols, Spain (2007)
Varnik, F.: Discussion meeting on Lattice Boltzmann modeling and simulation of multicomponent and multiphase flows. Seminar Talk at TU-Braunschweig, Braunschweig, Germany (2007)
Varnik, F.: Diffusion, structural relaxation and rheological properties of a simple glass forming model: A molecular dynamics study. The 5th International Workshop on Complex Systems, Sendai, Japan (2007)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.