Zaefferer, S.; Kleindiek, S.; Schock, K.; Volbert, B.: Combined Application of EBSD and ECCI Using a Versatile 5-Axes Goniometer in an SEM. Microscopy and Microanalysis 2013, Indianapolis, IN, USA (2013)
Zaefferer, S.; Elhami, N. N.; Konijnenberg, P. J.; Jäpel, T.: Quantitative Microstructure Characterization by Application of Advanced SEM-Based Electron Diffraction Techniques. Microscopy and Microanalysis 2013, Indianapolis, IN, USA (2013)
Raabe, D.; Choi, P.; Herbig, M.; Li, Y.; Zaefferer, S.; Kirchheim, R.: Iron – Mythology and High Tech: From Electronic Understanding to Bulk Nanostructuring of 1 Billion Tons. Summer School 2013 on Functional Solids – FERRUM - organized by Leibniz University Hannover, Goslar, Germany (2013)
Zaefferer, S.: An overview on techniques for high spatial resolution measurements of plastic and elastic strain by EBSD and related techniques. RexGG pre-conference workshop, Wollongong, Australia (2013)
Zaefferer, S.; Konijnenberg, P. J.: Advanced analysis of 3D EBSD data obtained from FIB-EBSD tomography. RexGG pre-conference workshop, Wollongong, Australia (2013)
Zaefferer, S.: An overview on techniques for high spatial resolution measurements of plastic and elastic strain by EBSD and related techniques. MicroCar 2013, Leipzig, Germany (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…