Zaefferer, S.: Application of EBSD and ECCI for the Investigation of Microstructures of Engineering Materials. MSA EBSD 2014, Pittsburgh, PA, USA (2014)
Zaefferer, S.: Application of diffraction techniques in the scanning electron microscope for the investigation of microstructures of engineering materials. Deutsche Versuchsanstalt für Luft und Raumfahrt (DLR), Köln, Germany (2014)
Herbig, M.; Raabe, D.; Li, Y.; Choi, P.; Zaefferer, S.; Goto, S.: High Throughput Quantification of Grain Boundary Segregation by Correlative TEM and APT. TMS 2014, Solid-State Interfaces III Symposium, San Diego, CA, USA (2014)
Herbig, M.; Raabe, D.; Li, Y.; Choi, P.-P.; Zaefferer, S.; Goto, S.: High Throughput Quantification of Grain Boundary Segregation by Correlative Transmission Electron Microscopy and Atom Probe Tomography. International Conference on Atom Probe Tomography & Microscopy 2014, Stuttgart, Germany (2014)
Konijnenberg, P. J.; Stechmann, G.; Zaefferer, S.; Raabe, D.: Advances in Analysis of 3D Orientation Data Sets Obtained by FIB-EBSD Tomography. 2nd International Congress on 3D Materials Science 2014, Annecy, France (2014)
Ram, F.; Khorashadizadeh, A.; Zaefferer, S.: Kikuchi Band Sharpness: A Measure for the Density of the Crystal Lattice Defects. MSE 2014, Darmstadt, Germany (2014)
Ram, F.; Zaefferer, S.: Accurate Kikuchi band localization and its application for diffraction geometry determination. HR-EBSD workshop, Imperial College, London, UK (2014)
Ram, F.; Zaefferer, S.: Plastic strain derivation and Kikuchi band localization by applying the Kikuchi bandlet method to electron backscatter Kikuchi Diffraction patterns. 17th ICOTOM, Dresden; Germany (2014)
Zaefferer, S.: SEM and TEM based orientation microscopy for investigation of recrystallization processes. CNRS summer school on recrystallization, Frejus, France (2014)
Herbig, M.; Raabe, D.; Li, Y. J.; Choi, P.; Zaefferer, S.; Goto, S.: Quantification of Grain Boundary Segregation in Nanocrystalline Material. Seminar at Department Microstructure Physics and Alloy Design, MPI für Eisenforschung, Düsseldorf, Germany (2013)
Zaefferer, S.; Elhami, N. N.: Electron Channelling Contrast Imaging under controlled diffraction conditions, cECCI - Theory and Applications. CEMEF, Sofia-Antipolis, France (2013)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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…