Bastos, A.; Zaefferer, S.; Raabe, D.: Characterization of nanostructured electrodeposited NiCo Samples by use of Electron Backscatter Diffraction (EBSD). MRS Spring Meeting, San Francisco, CA, USA (2005)
Zaefferer, S.: Investigation of the Bainitic Phase Transformation in a Low Alloyed TRIP steel using EBSD and TEM. Material Science and Technology 2004, New Orleans, LA, USA (2004)
Zaefferer, S.; Ohlert, J.; Bleck, W.: Influence of thermal treatment on the microstructure and mechanical properties of a low alloyed TRIP steel. Werkstoffwoche 2004, München, Germany (2004)
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)
Zaefferer, S.: High Resolution EBSD Investigations of the Recrystallization Behaviour of a cold rolled Ni3Al single crystal. 2nd International Joint Conference on Recrystallization and Grain Growth, Annecy, France (2004)
Dorner, D.; Lahn, L.; Zaefferer, S.: Investigation of the primary recrystallisation microstructure of cold rolled and annealed Fe3%Si single crystals with Goss orientation. 2nd Joint International Conference on Recrystallization and Grain Growth (Rex&GG2), Annecy, France (2004)
Dorner, D.; Zaefferer, S.: Microstructure and texture of shear bands in cold rolled silicon steel single crystals of Goss orientation. 2nd International Conference on Texture and Anisotropy of Polycrystals (ITAP2), Metz, France (2004)
Zaefferer, S.: Electron backscatter diffraction (EBSD): A powerful tool to understand microstructures. Institutskolloquium im Fachbereich Material-und Geowissenschaften der TU Darmstadt, TU Darmstadt, Germany (2004)
Zaefferer, S.: Microtexture measurements: A powerful tool to understand microstructures. Institusseminar am Institut für metallische Werkstoffe, Ruhr-Universität Bochum, Germany (2004)
Zaefferer, S.; Chen, N.; Dorner, D.: New ideas and investigations concerning the development of the Goss texture. Treffen des Fachausschusses Texturen, Institut für Physik, TU Dresden, Germany (2004)
Zaefferer, S.: The investigation of the correlation between texture and microstructure on a submicrometer scale in the TEM. Seminar des Instituts für Geologie, ETH Zürich, Schweiz (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)
Zaefferer, S.: Microstructure formation and phase transformation mechanisms in low alloyed TRIP steels. Gemeinsames Kolloquium der Institute für Metallkunde, Aachen, Düsseldorf, Ghent und Leuven (2003)
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
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…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
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.