Zaefferer, S.: Dislocations, grain boundaries and strain fields observed on bulk samples: high resolution defect analysis by SEM-based diffraction techniques. Talk at Universität Bayreuth, Bayreuth, Germany (2015)
Li, Z.; Ram, F.; Zaefferer, S.; Raabe, D.; Reed, R. C.: Investigations of dislocation structures in a Ni-based single crystal superalloy using Electron Channeling Contrast Imaging (ECCI) and cross-correlation EBSD. RMS EBSD, Glasgow, Scotland, UK (2015)
Stechmann, G.; Zaefferer, S.: 3-dimensionnal Microstructural Characterization of CdTe-based Solar Cells. Zentrum für Sonnenenergie- und Wasserstoff-Forschung Baden-Württemberg, Stuttgart, Germany (2015)
Zaefferer, S.; Stechmann, G.: Electron backscatter diffraction (EBSD) and electron channelling contrast imaging (ECCI) for the study of thin film solar cells. Workshop Morphologie und Mikrostruktur dünner Schichten, Dresden, Germany (2015)
Zaefferer, S.: Dislocations, grain boundaries and strain fields observed on bulk samples: high resolution defect analysis by SEM-based diffraction techniques. Deutsche Nanoschicht, Bonn, Germany (2015)
Haghighat, S. M. H.; Li, Z.; Zaefferer, S.; Reed, R. C.; Raabe, D.: Mesoscale modeling of dislocation climb and primary creep process in single crystal Ni base superalloys. International Workshop on Dislocation Dynamics Simulations, Saclay, France (2014)
Zaefferer, S.: Quantitative Analyse von Kristalldefekten in Werkstoffen mittels Beugungsmethoden im Rasterelektronenmikroskop. Workshop in honour of Professor Füting, Hochschule Köthen, Köthen, Germany (2014)
Herbig, M.; Raabe, D.; Li, Y.; Choi, P.-P.; Zaefferer, S.; Goto, S.: Joint crystallographic and chemical characterization at the nanometer scale by correlative TEM and atom probe tomography. Workshop: White-etching layers in ball and roller bearings, Informatik-Zentrum Hörn, Aachen, Germany (2014)
Zaefferer, S.: Texture and microstructures of thin film solar cells. Autumn School on Microstructural Characterization and Modelling of Thin-Film Solar Cells, Potsdam, Germany (2014)
Haghighat, S. M. H.; Li, Z.; Zaefferer, S.; Reed, R. C.; Raabe, D.: Characterization and modeling of the propagation of creep dislocations from the interdendritic boundaries in single crystal Ni base superalloys. International Workshop on Modelling and Simulation of Superalloys, Bochum, Germany (2014)
Zaefferer, S.; Mandal, S.; Bozzolo, N.: Correlative Measurement of the 5-parameter Grain Boundary Character and its Physical and Chemical Properties. MSE 2014, Darmstadt, Germany (2014)
Schemmann, L.; Romano Triguero, P.; Zaefferer, S.: Eine Untersuchung zur ferritisch-bainitischen Umwandlung in einem Dualphasenstahl unter Verwendung von EBSD-basierten Misorientierungsmessungen. Arbeitskreistreffen: Mikrostrukturcharakterisierung im REM, Düsseldorf, Germany (2014)
Zaefferer, S.: Quantitative analysis of crystal defects by means of EBSD and related methods. Arbeitskreistreffen: Mikrostrukturcharakterisierung im REM, Düsseldorf, Germany (2014)
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)
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
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
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.