Kim, O.; Friák, M.; Neugebauer, J.: Ab initio analysis of the carbon solubility limits in various iron allotropes. DPG Frühjahrstagung 2010, Regensburg, Germany (2010)
Friák, M.; Sob, M.; Kim, O.; Ismer, L.; Neugebauer, J.: Ab initio calculation of phase boundaries in iron along the bcc-fcc transformation path and magnetism of iron overlayers. Seminar at the Department of Materials Physics at Montan Universität Leoben, Leoben, Austria (2009)
Friák, M.; Sob, M.; Kim, O.; Ismer, L.; Neugebauer, J.: Ab initio study of the alpha-iron stability limits. Ab initio Description of Iron and Steel: Magnetism and Phase diagrams (ADIS 2008), Ringberg castle, Tegernsee, Germany (2008)
Kim, O.; Friák, M.; Neugebauer, J.: Ab initio analysis of the carbon solubility limits in various iron phases. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Kim, O.; Friák, M.; Neugebauer, J.: Ab-initio study of formation energies in steel and their relations to the solubility limits of carbon in austenite and ferrite. PAW workshop 2007, Goslar, Germany (2007)
Kim, O.; Friák, M.; Neugebauer, J.: Ab initio study of the carbon-carbon interaction in iron. Spring meeting of the German Physical Society (DPG), Regensburg, Germany (2007)
Friák, M.; Sob, M.; Kim, O.; Ismer, L.; Neugebauer, J.: First principles study of the alpha-iron stability limits. 448. Wilhelm und Else Heraeus-Seminar "Excitement in magnetism: Spin-dependent scattering and coupling of excitations in ferromagnets", Tegernsee, Ringberg, Germany (2009)
Friák, M.; Sob, M.; Kim, O.; Ismer, L.; Neugebauer, J.: First principles study of the alpha-iron stability limits. Ab initio Description of Iron and Steel: Magnetism and Phase diagrams (ADIS 2008), Ringberg Castle, Tegernsee, Germany (2008)
Kim, O.; Friák, M.; Neugebauer, J.: Ab-initio study of formation energies in steel and their relations to the solubility limits of carbon in austenite and ferrite. Multiscale Modeling of Condensed Matter, Sant Feliu de Guixols, Spain (2007)
Kim, O.: Ab-initio study of formation and interaction energies in steel and their relations to the solubility limit of carbon in austenite and ferrite. Master, RWTH-Aachen, Aachen, Germany (2007)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
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.