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)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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