Raabe, D.; Zaafarani, N.; Roters, F.; Zaefferer, S.: 3D studies on orientation patterning below nanoindents in Cu single crystals using 3D EBSD and crystal plasticity finite element simulations. 3rd Intern. Indentation Workshop, Cavendish Lab., Cambridge, UK (2007)
Zaefferer, S.: 3D orientation microscopy in a FIB-SEM: A new dimension of microstructure characterisation. 10th SFµ Annual Colloquium, Grenoble, France (2007)
Romano, P.; Zaefferer, S.: Identification of Bainite in Al-TRIP Steels using orientation microscopy. 14th Conference on Electron Backscatter Diffraction, New Lanark, Scotland, UK (2007)
Zaefferer, S.: Some ideas on the formation mechanisms and intensity of electron backscatter diffraction patterns. 14th Conference on Electron Backscatter Diffraction, New Lanark, Scotland, UK (2007)
Bastos, A.; Zaafarani, N.; Zaefferer, S.; Raabe, D.: Overview on 3D EBSD. Deutsche Gesellschaft für Materialkunde e.V., Fachausschuss Texturen, RWTH Aachen, Germany (2007)
Bastos, A.; Zaefferer, S.; Raabe, D.: 3D Orientation microscopy. Deutsche Gesellschaft für Materialkunde e.V. Fachausschuss Texturen, RWTH Aachen, Germany (2007)
Zaefferer, S.: 3D orientation microscopy in a FIB-SEM: A new dimension of microstructure characterisation. Res Metallica Chair 2007, KU Leuven, Belgium (2007)
Zaefferer, S.: 3D orientation microscopy in a FIB-SEM: A new dimension of microstructure characterisation. Presentation at the scientific advisory board MPI Eisenforschung, MPI Eisenforschung GmbH, Düsseldorf, Germany (2007)
Bastos, A.; Zaefferer, S.; Raabe, D.: 3D EBSD Characterization of a Nanocrystalline NiCo Alloy by use of a High-resolution Field Emission SEM-EBSD Coupled with Serial Sectioning in a Focused Ion Beam Microscope (FIB). MRS Fall Conference, Boston, MA, USA (2006)
Kobayashi, S.; Zaefferer, S.: Determination of Phase Equilibria in the Fe3Al–Cr–Mo–C Semi-quaternary System Using a New Diffusion-multiple Technique. 12th International IUPAC Conference on High Temperature Materials Chemistry, Vienna, Austria (2006)
Zaefferer, S.; Sato, H.: Investigation of the formation mechanism of martensite plates in Fe-30%Ni by a high resolution orientation microscopy in SEM. ESOMAT 2006, Bochum (2006)
Kobayashi, S.; Zaefferer, S.; Raabe, D.: Relative Importance of Nucleation vs. Growth for Recrystallisation of Particle-containing Fe3Al Alloys. Fundamentals of Deformation and Annealing Symposium, Manchester, UK (2006)
Zaefferer, S.: High resolution orientation microscopy in 2 and 3 dimensions to study microstructure formation processes. 2. Warmumformtag (2.WUT), Düsseldorf (2006)
Zaafarani, N.; Raabe, D.; Singh, R. N.; Roters, F.; Zaefferer, S.; Zambaldi, C.: 3D EBSD characterization and crystal plasticity FE simulation of the texture and microstructure below a nanoindent in Cu. Plasticity Conference 2006, Halifax, Canada (2006)
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
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.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…