Luo, W.; Kirchlechner, C.; Dehm, G.; Stein, F.: A New Method to Study the Composition Dependence of Mechanical Properties of Laves Phases. Intermetallics 2015, Educational Center Kloster Banz, Bad Staffelstein, Germany (2015)
Luo, W.: Mechanical properties of the cubic and hexagonal NbCo2 Laves phases studied by micromechanical testing. Dissertation, Ruhr-Universität Bochum (2019)
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.