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)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
The field of micromechanics has seen a large progress in the past two decades, enabled by the development of instrumented nanoindentation. Consequently, diverse methodologies have been tested to extract fundamental properties of materials related to their plastic and elastic behaviour and fracture toughness. Established experimental protocols are…
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…