Juricic, C.; Pinto, H.; Cardinali, D.; Klaus, M.; Genzel, C.; Pyzalla, A. R.: Evolution of microstructure and internal stresses in multi-phase oxide scales grown on (110) surfaces of iron single crystals at 650 °C. Oxidation of Metals 73 (1-2), pp. 115 - 138 (2010)
Juricic, C.; Pinto, H.; Cardinali, D.; Klaus, M.; Genzel, C.; Pyzalla, A. R.: Effect of Substrate Grain Size on the Growth, Texture and Internal Stresses of Iron Oxide Scales Forming at 450 °C. Oxidation of Metals 73 (1-2), pp. 15 - 41 (2010)
Juricic, C.; Pinto, H.; Wroblewski, T.; Pyzalla, A.: Dependence of Oxidation Behavior and Residual Stresses in Oxide Layers on Armco Iron Substrate Surface condition. Materials Science Forum 524-525, pp. 963 - 968 (2006)
Pinto, H.; Juricic, C.; Genzel, C.; Pyzalla, A. R.: Effect of substrate microstructure on phase, texture and internal stress evolution in iron oxide layers grown at 650 °C. Zeit- und temperaturaufgelöste Röntgen-Pulver-Diffraktometrie VIII, Fraunhofer ICT, Pfinztal, Germany (2007)
Juricic, C.; Pinto, H.; Pyzalla, A. R.: In-situ phase analysis and stress evolution in iron oxides on iron poly and single crystals. Size-Strain V, Garmisch-Partenkirchen (2007)
Juricic, C.; Pinto, H.; Genzel, C.; Pyzalla, A. R.: Effect of substrate orientation on the phase and internal stress evolution in iron oxide layers. MECASENS IV, Wien, Austria (2007)
Juricic, C.; Pinto, H.; Pyzalla, A. R.: Wachstumsspannungen und Eigenspannungen in Oxidschichten auf Armcoeisensubstraten. FA 13 Eigenspannungen der AWT, Forschungsgemeinschaft Werkzeuge und Werkstoffe e.V., Remscheid (2007)
Juricic, C.: Eigenspannungsentwicklung in Oxidschichten auf ein- und polykristallinem Eisen. FA 13 Eigenspannungen der AWT, Lehrstuhl für Umformtechnik und Gießereiwesen, TU München, Germany (2006)
Juricic, C.; Pinto, H.; Wrobleweski, T.; Pyzalla, A.: Internal Stresses in Oxid Layers on Iron Polycrystals. User Meeting HASYLAB bei DESY, Hamburg, Germany (2006)
Juricic, C.; Pinto, H.; Wroblewski, T.; Pyzalla, A.: The Effect of Crystal Orientation on the Oxidation Behavior of Iran Substrates. SNI 2006, German Conference for Research with Synchrotron Radiation, Neutrons and Ion Beams at Large Facilities, Hamburg, Germany (2006)
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
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.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…
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.