Konrad, J.; Zaefferer, S.; Schneider, A.: Investigation of nucleation mechanisms of recrystallization in warm rolled Fe3Al base alloys. Materials Science Forum 467-470, pp. 75 - 80 (2004)
Zaefferer, S.; Konrad, J.; Raabe, D.: 3D-Orientation Microscopy in a Combined Focused Ion Beam (FIB) - Scanning Electron Microscope: A New Dimension of Microstructure Characterisation. Microscopy Conference 2005, Davos, Switzerland (2005)
Konrad, J.; Raabe, D.; Zaefferer, S.: Investigation of orientation gradients around particles and their influence on particle stimulated nucleation in a hot rolled Fe3Al based alloy by applying 3D EBSD. DPG Frühjahrstagung, Berlin, Germany (2005)
Konrad, J.; Raabe, D.; Zaefferer, S.: Investigation of Nucleation Mechanisms of Recrystallization in Warm Rolled Fe3Al Base Alloys. 2nd International Conference on Recrystallization and Grain Growth, Annecy, France (2004)
Konrad, J.: Hot Rolling Behaviour and Plastic Anisotropy of Fe3Al-based Alloys. Discussion Meeting on the Development of Innovative Iron Aluminium Alloys, MPIE Düsseldorf (2004)
Konrad, J.; Raabe, D.; Zaefferer, S.: Texturentwicklung beim Warmwalzen und bei der Rekristallisation von Fe3Al-Basislegierungen. Sitzung des DFG Fachausschuss Intermetallische Phasen, MPIE, Düsseldorf, Germany (2004)
Konrad, J.; Zaefferer, S.; Schneider, A.; Raabe, D.; Frommeyer, G.: Texturentwicklung beim Warmwalzen und bei der Rekristallisation von Fe3Al-Basislegierungen. Treffen des Fachausschusses Intermetallische Phasen, MPI Eisenforschung, Düsseldorf (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
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…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
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.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…