Enax, J.; Prymak, O.; Fabritius, H.-O.; Raabe, D.; Epple, M.: New approaches towards synthetic bio-inspired dental materials based on the characteristics of shark teeth. 9. Zsigmondy-Kolloquium der Kolloid-Gesellschaft, Essen, Germany (2013)
Enax, J.; Prymak, O.; Fabritius, H.-O.; Raabe, D.; Epple, M.: Korrelation von Strukturhierarchie, chemischer Zusammensetzung und mechanischen Eigenschaften von Haizähnen. Jahrestagung der Deutschen Gesellschaft für Biomaterialien, Hamburg, Germany (2012)
Stein, F.; Palm, M.; Voß, S.; He, C.; Dovbenko, O. I.; Prymak, O.: Experimental Investigations of Phases, Phase Equilibria, and Melting Behaviour in the Systems Fe–Al–Nb and Co–Al–Nb and Their Terminal Binary Systems. Calphad XL, Rio de Janeiro, Brazil (2011)
Stein, F.; Prymak, O.: Experimental Investigation of Phases and Phase Equilibria in the Ternary Fe–Al–Nb System. 5th Discussion Meeting on the Development of Innovative Iron Aluminium Alloys, Prague, Czech Republic (2009)
Stein, F.; Prymak, O.; Dovbenko, O. I.; He, C.; Palm, M.; Schuster, J. C.: Investigation of Phase Diagrams of Laves Phase Containing Binary and Ternary Nb–TM(–Al) Systems with TM=Cr,Fe,Co. 2nd Sino-German Symposium on Computational Thermodynamics and Kinetics and Their Applications to Solidification, Kornelimünster, Aachen, Germany (2009)
Prymak, O.; Stein, F.: Composition dependence of site occupancy and c/a ratio in hexagonal C14 Laves phase of the Nb–Cr–Al system. TOFA Thermodynamics of Alloys 2008, Krakow, Poland (2008)
Stein, F.; Prymak, O.; Dovbenko, O. I.; Palm, M.: Phase equilibria of Laves phases in ternary Nb–X–Al systems with X = Cr, Fe, Co. Discussion Meeting on Thermodynamics of Alloys - TOFA 2008, Krakow, Poland (2008)
Prymak, O.; Stein, F.; Frommeyer, G.; Raabe, D.: Phase equilibria in the Nb–Cr–Al system at 1150, 1300 and 1450 °C. Workshop "The Nature of Laves Phases IX", Stuttgart, 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
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.
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.