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
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.