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)
Butz, A.; Rist, T.; Springub, B.; Roters, F.; Schulz, S.; Peranio, N.; Lossau, S.: From Cold Rolling to Deep Drawing - Microstructure Based Modeling of a Dual Phase Steel. NUMISHEET 2008, Interlaken, Switzerland (2008)
Springub, G.; Masimov, M.; Peranio, N.; Li, Y. J.; Roters, F.; Raabe, D.: Study of substructure and texture development in dual phase steels due to thermo-mechanical treatment. ITAP3, 3d International Conference on Texture and Anisotropy in Polycrystals, Göttingen, Germany (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
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.