Tjahjanto, D. D.; Eisenlohr, P.; Roters, F.: Relaxed grain cluster (RGC) scheme for polycrystals: Model formulation and solution strategy. Computational Mechanics of Polycrystals (CMCn) Workshop 2010, Bad Honnef, Germany (2010)
Eisenlohr, P.; Kords, C.; Roters, F.; Raabe, D.: A non-local crystal plasticity model based on polar dislocation densities. 16th Int. Symp. on Plasticity and Its Current Applications, St. Kitts, St. Federation of Saint Kitts and Nevis (2010)
Eisenlohr, P.; Tjahjanto, D. D.; Roters, F.; Raabe, D.: Coarse-graining of polycrystal plasticity with the Relaxed Grain Cluster scheme. Seminar des Instituts für Technische Mechanik, Karlsruher Institut für Technologie, Karlsruhe, Germany (2009)
Roters, F.; Demir, E.; Eisenlohr, P.: On the calculation of the geometrically necessary dislocation density in crystal plasticity FEM models. 1st International Conference on Material Modelling (ICMM 1), Dortmund, Germany (2009)
Tjahjanto, D. D.; Roters, F.; Eisenlohr, P.: Application of the relaxed grain cluster homogenization scheme to deep drawing simulation of dual-phase steel. 1st International Conference on Material Modelling (ICMM 1), Dortmund, Germany (2009)
Zambaldi, C.; Roters, F.; Zaefferer, S.; Raabe, D.: Crystal plasticity modeling for property extraction and the microstructure properties relation of intermetallic -TiAl nased alloys. 1st International Conference on Material Modelling (ICMM 1), Dortmund, Germany (2009)
Peranio, N.; Schulz, S.; Li, Y. J.; Roters, F.; Raabe, D.; Masimov, M.; Springub, G.: Processing of dual-phase steel for automotive applications: Microstructure and texture evolution during annealing and numerical simulation by cellular automata. Euromat 2009 (European Congress and Exhibition on Advanced Materials and Processes), Glasgow, UK (2009)
Eisenlohr, P.; Tjahjanto, D. D.; Roters, F.; Raabe, D.: Analysis of the relaxed grain cluster polycrystal homogenization scheme in texture prediction. 15th International Conference on the Strength of Materials (ICSMA-15), Dresden, Germany (2009)
Ma, D.; Raabe, D.; Roters, F.; Maaß, R.; van Swygenhoven, H.: Crystal plasticity finite element study on small scale plasticity of micropillars. 15th International Conference on the Strength of Materials (ICSMA-15), Dresden, Germany (2009)
Zambaldi, C.; Roters, F.; Raabe, D.: Crystal plasticity modeling and experiments for the microstructureproperties relationship in gamma TiAl based alloys. 15th International Conference on the Strength of Materials (ICSMA-15), Dresden, Germany (2009)
Ma, D.; Raabe, D.; Roters, F.; Maaß, R.; Van Swygenhoven, H.: Crystal Plasticity finite element method study on small scale plasticity. Deutsche Physikalische Gesellschaft 2009, Dresden, Germany (2009)
Roters, F.; Hantcherli, L.; Eisenlohr, P.: Incorporating Twinning into the Crystal Plasticity Finite Element Method. International Plasticity Conference 2009, Virgin Islands, USA (2009)
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
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
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…
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.