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)
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)
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
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
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.