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
The structure of grain boundaries (GBs) is dependent on the crystallographic structure of the material, orientation of the neighbouring grains, composition of material and temperature. The abovementioned conditions set a specific structure of the GB which dictates several properties of the materials, e.g. mechanical behaviour, diffusion, and…
The goal of this project is to develop an environmental chamber for mechanical testing setups, which will enable mechanical metrology of different microarchitectures such as micropillars and microlattices, as a function of temperature, humidity and gaseous environment.
Water electrolysis has the potential to become the major technology for the production of the high amount of green hydrogen that is necessary for its widespread application in a decarbonized economy. The bottleneck of this electrochemical reaction is the anodic partial reaction, the oxygen evolution reaction (OER), which is sluggish and hence…
The computational materials design department in collaboration with the Technical University Darmstadt and the Ruhr University Bochum developed a workflow to calculate phase diagrams from ab-initio. This achievement is based on the expertise in the ab-initio thermodynamics in combination with the recent advancements in machine-learned interatomic…
The project focuses on development and design of workflows, which enable advanced processing and analyses of various data obtained from different field ion emission microscope techniques such as field ion microscope (FIM), atom probe tomography (APT), electronic FIM (e-FIM) and time of flight enabled FIM (tof-FIM).
This project will aim at addressing the specific knowledge gap of experimental data on the mechanical behavior of microscale samples at ultra-short-time scales by the development of testing platforms capable of conducting quantitative micromechanical testing under extreme strain rates upto 10000/s and beyond.