Jaya, B. N.; Köhler, M.; Schnabel, V.; Raabe, D.; Schneider, J. M.; Kirchlechner, C.; Dehm, G.: Micro-scale fracture behavior of Co based metallic glass thin films. 2016 TMS Annual Meeting and Exhibition Symposium: In Operando Nano- and Micro-mechanical Characterization of Materials with Special Emphasis on In Situ Techniques, Nashville, TN, USA (2016)
Köhler, M.: APT & fracture beahaviour of metallic glass thin films. Kolloquium über aktuelle Fragen der Materialphysik an der WWU Münster, Münster, 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.