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)
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
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
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.