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
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.