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)
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)
Roters, F.; Hantcherli, L.; Eisenlohr, P.: Incorporating Twinning into the Crystal Plasticity Finite Element Method. International Plasticity Conference 2009, Virgin Islands, USA (2009)
Bieler, T. R.; Crimp, M. A.; Eisenlohr, P.; Roters, F.; Raabe, D.: Physically based Approach for Predicting Damage Nucleation at Grain Boundaries in Commercial Purity Ti. 15th International Conference on the Texture of Materials (ICOTOM 15), Pittsburgh, PA, USA (2008)
Eisenlohr, P.; Roters, F.: Accurate Texture Reconstruction with a Set of Orientations Based on Integral Approximation of the Scaled Orientation Distribution Function. 15 th International Conference on the Texture of Materials (ICOTOM 15), Pittsburgh, PA, USA (2008)
Hantcherli, L.; Eisenlohr, P.; Roters, F.; Raabe, D.: On the Role of Mechanical Twinning in Microstructure Evolution of High Manganese Steels: Experiments and Modelling. 15th International Conference on Textures of Materials (ICOTOM15), Carnegie Mellon University Center in Pittsburgh, PA, USA (2008)
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