Sandlöbes, S.; Friák, M.; Dick, A.; Zaefferer, S.; Pei, Z.; Zhu, L.-F.; Sha, G.; Ringer, S.; Neugebauer, J.; Raabe, D.: Combining ab initio calculations and high resolution experiments to improve the understanding of advanced Mg-Y and Mg-RE alloys. 7th Annual Conference of the ARC Centre of Excellence for Design in Light Metals, Melbourne, VIC, Australia (2012)
Konijnenberg, P. J.; Zaefferer, S.; Raabe, D.: Advanced analysis of 3D EBSD data obtained by FIB tomography. NVvM 2012 Materials Science Meeting, Eindhoven, The Netherlands (2012)
Tasan, C. C.; Zaefferer, S.; Raabe, D.: In-situ investigations of small strain plasticity in dual-phase steel. 23rd International Congress of Theoretical and Applied Mechanics (ICTAM), Beijing, China (2012)
Zaefferer, S.; Chen, J.; Konijnenberg, P.: A study on origin and nature of shear bands in cold rolled Mg-3Y alloy using 3D EBSD. 9th Intern. Conference on Magnesium alloys and their applications, Vancouver, Canada (2012)
Zaefferer, S.: An overview on techniques for the measurements of plastic and elastic strain by EBSD and related techniques. EBSD usermeeting der DGK, Hannover, Germany (2012)
Zaefferer, S.: Advanced applications of SEM-based electron diffraction techniques for the characterization of deformation structures of new steels. E-MRS 2012, Strasbourg, France, Strasbourg, France (2012)
Zaefferer, S.: Dislocations in metals: Observations from the atomic scale to macroscopic dimensions. ICMS Workshop, “Open problems between micro and macro systems of agents and particles”, Eindhoven, The Netherlands (2012)
Ram, F.; Zaefferer, S.: Kikuchi Bandlet Method: A Method to Resolve the Source Point Position of an EBSD Pattern. 20th Annual meeting of the German Crystallographic Society, München, Germany (2012)
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.