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)
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
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.
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.
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…
The structures of grain boundaries (GBs) have been investigated in great detail. However, much less is known about their chemical features, owing to the experimental difficulties to probe these features at the near-atomic scale inside bulk material specimens. Atom probe tomography (APT) is a tool capable of accomplishing this task, with an ability…
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…