Varnik, F.: Can microscale wall roughness trigger unsteady/chaotic flows ? 5th International Workshop on Complex Systems, American Institute of Physics, Sendai, Japan (2007)
Varnik, F.: Two-dimensional lattice Boltzmann studies of the effects of wall roughness/channel design on the flow at moderate Reynolds numbers. IUTAM Symposium on Advances in Micro-& Nanofluidics, Dresden, Germany (2007)
Varnik, F.: Lattice Boltzmann studies of binary liquids and liquid-vapor systems beyond equilibrium. Leibniz Institute for Polymer Research, Dresden, Germany (2007)
Varnik, F.: A comprehensive introduction to lattice Boltzmann methods in materials science and engineering. Fritz-Haber Institut der Max-Planck Gesellschaft, Berlin, Germany (2007)
Varnik, F.: Non linear rheology and dynamic yielding in a simple glass: A molecular dynamics study. School of Physics, University of Edinburgh, UK (2006)
Varnik, F.: Chaotic lubricant flows in metal forming: Some new insights from lattice Boltzmann simulations. Seminar Talk at MPI für Eisenforschung GmbH, Düsseldorf, Germany (2006)
Varnik, F.: Lattice Boltzmann simulations of moderate Reynolds number flows in strongly confined channels: The role of the wall roughness. Massachussets Institute of Technology (MIT), Boston, MA, USA (2006)
Varnik, F.: MD simulations of steady state yielding in a simple glass. 31st Middle Euoropean Cooperation on Statistical Physics (MECO31), Primošten, Croatia (2006)
Varnik, F.: Rheological response of a model glass: Theory versus computer simulation. 2nd International workshop on dynamics in viscous liquids, Mainz, Germany (2006)
Varnik, F.; Raabe, D.: Lattice Boltzmann studies of flow instability in microchannels: The role of the surface roughness/topology. Laboratoire de Physique et de la Matiere Condensee et Nanostructure, Universite Claude Bernard, Lyon1, France (2005)
Varnik, F.: Complex rheology of simple systems: Shear thinning, dynamic versus static yielding and flow heterogeneity. CECAM-Workshop on Simulating deformed glasses and melts: From simple liquids to polymers, Lyon, France (2005)
Varnik, F.: Rheology of dense amorphous systems: Recent theories versus molecular dynamics simulations. 5th International Discussion Meeting on Relaxation in Complex Systems, Lille, France (2005)
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
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.
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.
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…
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.
Hydrogen embrittlement is one of the most substantial issues as we strive for a greener future by transitioning to a hydrogen-based economy. The mechanisms behind material degradation caused by hydrogen embrittlement are poorly understood owing to the elusive nature of hydrogen. Therefore, in the project "In situ Hydrogen Platform for…
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.