Ram, F.; Zaefferer, S.; Jäpel, T.: Error Analysis of the Crystal Orientations and Misorientations obtained by the Classical Electron Backscatter Diffraction Method. RMS EBSD 2014, London, UK (2014)
Ram, F.; Zaefferer, S.; Jäpel, T.: On the accuracy and precision of orientations obtained by the conventional automated EBSD method. RMS EBSD 2014, London, UK (2014)
Ram, F.; Zaefferer, S.: Kikuchi Bandlet Method: A Method to Resolve the Source Point Position of an EBSD Pattern. 15th European Microscopy Congress (EMC), Manchester, UK (2012)
Ram, F.; Zaefferer, S.: 3D-observations and modeling of nucleation during recrystallisation in a heavily deformed Fe-Ni alloy. Materials Science and Engineering MSE 2010, Darmstadt, Germany (2010)
Ram, F.: The Kikuchi bandlet method for the intensity analysis of the Electron Backscatter Kikuchi Diffraction Patterns. Dissertation, RWTH Aachen, Aachen, Germany (2015)
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) 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.
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…