Frank, A.; Folger, A.; Betzler, S. B.; Wochnik, A. S.; Wisnet, A.; Scheu, C.: Low-cost synthesis of semiconducting nanostructures used in energy applications. 61. Metallkunde-Kolloquium - Werkstoffforschung für Wirtschaft und Gesellschaft, Lech am Arlberg, Austria (2015)
Frank, A.; Wochnik, A. S.; Scheu, C.: Electron microscopy study of CuInS2 solvothermally synthesized with l-Cysteine. Microscopy Conference, Göttingen, Germany (2015)
Frank, A.; Wochnik, A. S.; Betzler, S. B.; Scheu, C.: Copper indium disulfide films synthesized with L-cysteine. Autumn School on Microstructural Characterization and Modelling of Thin-Film Solar Cells, Werder, Potsdam, 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
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.