Archie, F. M. F.; Zaefferer, S.; Raabe, D.: The influence of grain boundary character on dislocation densities and fracture toughness in AHSS. M2i Conference "High Tech Materials: your world - our business", Sint Michielgestel, The Netherlands (2014)
Archie, F. M. F.: Microstructural influence on micro-damage initiation in ferritic-martensitic DP-steels. Dissertation, RWTH Aachen, Aachen, Germany (2018)
Archie, F. M. F.: Damage nucleation in DP-steels: experimental characterization of the contributing microstructural parameters. Dissertation, Fakultät für Georessourcen und Materialtechnik, RWTH Aachen (2018)
Archie, F. M. F.: Nanostructured High-Mn Steels by High Pressure Torsion: Microstructure-Mechanical Property Relations. Master, Materials Chemistry, Lehrstuhl für Werkstoffchemie, RWTH Aachen, Aachen, 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
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.