Liot, F.; Friák, M.; Hickel, T.; Neugebauer, J.: The influence of ternary additions in the Fe2Nb C14 Laves phase. ICAMS Advanced Discussions, Bochum, Germany (2012)
Liot, F.; Friák, M.; Hickel, T.; Neugebauer, J.: Ab initio study of thermodynamic, structural and elastic properties of Al-/Si-substituted Laves phase Fe2Nb. Materials Science and Engineering 2010, Darmstadt, Germany (2010)
Liot, F.; Hooley, C.: Thermal expansion anomaly in iron-based ferromagnets: The relation to magnetism. APS March Meeting 2010, Portland, OR, USA (2010)
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.