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)
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.