Friák, M.; Neugebauer, J.; Sander, B.; Raabe, D.: Ab initio study of chemical and structural trends of Ti-based binary alloys. Materials Research Society fall meeting, Boston, MA, USA (2006)
Bastos da Silva, A. F.; Zaefferer, S.; Raabe, D.: Three Dimension Characterization of Electrodeposited Samples. MRS Fall Meeting, Boston, MA, USA (2005)
Al-Sawalmih, A.; Romano, P.; Sachs, C.; Raabe, D.: Structure and texture analysis of chitin-bio-nanocomposites using synchrotron radiation. MRS Spring Meeting, San Francisco, CA, USA (2005)
Romano, P.; Al-Sawalmih, A.; Sachs, C.; Raabe, D.; Brokmeier, H. G.: Mesostructure, microstructure and anisotropy of the lobster cuticle. MRS Spring Meeting, San Francisco, CA, USA (2005)
Romano, P.; Raabe, D.; Al-Sawalmih, A.; Sachs, C.; Servos, G.; Hartwig, H. G.: Influence of sample preparation and anisotropy on lobster claw studied by LOM, SEM and TEM. Focus on Microscopy, Jena, Germany (2005)
Zaafarani, N.; Singh, R.; Zaefferer, S.; Roters, F.; Raabe, D.: 3D experimental investigation and crystal plasticity FEM simulation of the texture and microstructure below a nanoindent in a Cu-single crystal. 6th European Symposium on nano-mechanical Testing (Nanomech 6), Hückelhoven, Germany (2005)
Konrad, J.; Raabe, D.; Zaefferer, S.: Deformation Behavior of a Fe3Al Alloy During Thermomechanical Treatment. MRS Fall Meeting, Boston, MA, USA (2004)
Thomas, I.; Zaefferer, S.; Friedel, F.; Raabe, D.: Orientation dependent growth behaviour of subgrain structures in IF steel. 2nd International Joint Conference on Recrystallization and Grain Growth, Annecy, France (2004)
Konrad, J.; Raabe, D.; Zaefferer, S.: Nucleation Mechanisms of Recrystallization in Warm Rolled Fe3Al Base Alloys. Discussion Meeting on the Development of Innovative Iron Aluminium Alloys, MPIE, Düsseldorf, Germany (2004)
Roters, F.; Zhao, Z.; Raabe, D.: Development of a Grain Fragmentation Criterion and its Validation using Crystal Plasticity FEM Simulations. Meeting, Düsseldorf, Germany (2004)
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
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…