Krüger, T.; Varnik, F.; Raabe, D.: Simulation of a dense suspension of deformable particles using the lattice Boltzmann method. ICMMES 2009, Guangzhou, China (2009)
Varnik, F.: Lattice Boltzmann studies of confined flows at intermediate Reynolds numbers: The role of wall roughness. The 5th International Conference for Mesoscopic Methods in Engineering, Amsterdam, The Netherlands (2008)
Varnik, F.: Stability and kinetics of droplets: A free energy based lattice Boltzmann study. DPG Spring Meeting of the Condensed Matter Division, Berlin, Germany (2008)
Gross, M.; Varnik, F.; Raabe, D.: Stability and kinetic of droplets: A free energy based lattice Boltzmann study. Sommer Workshop on Nano-& Microfluidics, Bad Honnef, Germany (2008)
Varnik, F.: Yield stress discontinuity: A manifest of the glass transition in a sheared glass. 369th Heraeus-Seminar, Interplay of Thermodynamics and Hydrodynamics in Soft Condensed Matter, Bad-Honnef, Germany (2006)
Varnik, F.: Shearing glassy model systems: A test of theoretical predictions on non linear rheology. 6th Liquid Matter Conference, Utrecht, The Nederlands (2005)
Varnik, F.: Confinement effects on the slow dynamics of a simulated supercooled polymer melt. International workshop on dynamics in viscous liquids, München, Germany (2004)
Varnik, F.: Glass Transition in Polymer Films: A Molecular Dynamics Study. International Conference on Computational Physics (CCP), Aachen, Germany (2001)
Varnik, F.: Propriétés statiques et dynamiques des couches minces de polymères. Les Journées de Rencontre Nationale sur les propriétés des verres, Montpellier, France (2001)
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
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
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.