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
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
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.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
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…