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)
Berns, H.; Pinto, H.: Anisotropic Size Change During Continuous Quenching and Deep Freezing of Tool Steel. 5th Intern. Conf. on Quenching and Control of Distortion and European Conf. on Heat Treatment, Berlin, Germany (2007)
Pinto, H.: Stress & texture studies. 5th European Winter School (NESY 2007) Research with Neutron and Synchrotron Radiation, Planneralm Styria / Austria (2007)
Juricic, C.; Pinto, H.; Wrobleweski, T.; Pyzalla, A.: Internal Stresses in Oxid Layers on Iron Polycrystals. User Meeting HASYLAB bei DESY, Hamburg, Germany (2006)
Brito, P.; Pinto, H.; Spiegel, M.; Klaus, M.; Genzel, C.; Pyzalla, A. R.: Phase composition and internal stress development during the oxidation of iron aluminides. ICRS-8, Denver, CO, USA (2008)
Coelho, R. S.; Kostka, A.; Pinto, H.; dos Santos, J.; Pyzalla, A. R.: Microstructure and residual stresses of high-strength steel to aluminium alloy friction stir welds. ICRS-8, Denver, USA (2008)
Pinto, H.; Barbatti, C.; Guio, A.; Jahn, A.; Standfuß, J.; Pyzalla, A. R.: Application of EBSD to the characterization of induction-assisted welds in high strength. Electron Backscatter Diffraction Meeting, Sheffield, UK (2008)
Moscicki, M.; Pinto, H.; Paulmann, C.; Pyzalla, A. R.: An Automatic Procedure for Residual Stress Analysis in Individual Crystallites of a Polychrystalline Material. Euromat 2007, Nürnberg, Germany (2007)
Pinto, H.; Silva, P. A.; Kostka, A.; Chladil, H. F.; Clemens, H.; Pyzalla, A. R.: Microstructure and Residual Stress Formation in Oxide Layers Grown on the Gamma-Ti–45Al–5Nb Alloy. Euromat 2007, Nürnberg (2007)
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)
Pinto, H.; Sawalmih, A.; Raabe, D.; Pyzalla, A.: Residual Stresses in the Exoskeleton of a Homarus americanus Lobster. SNI 2006, German Conference for Research with Synchrotron Radiation, Neutrons and Ion Beams at Large Facilities, Hamburg, Germany (2006)
Pinto, H.; Sawalmih, A.; Raabe, D.; Pyzalla, A.: Residual Stresses in the Exoskeleton of a Homarus americanus Lobster. SNI 2006, German Conference for Research with Synchrotron Radiation, Neutrons and Ion Beams at Large Facilities, Hamburg, Germany (2006)
Silva, P.; Pinto, H.; Kostka, A.; Chladil, H. F.; Pyzalla, A.: Microstructure and Residual Stress Formation in Oxide Layers Grown in High Niobium Containing g-TiAl Based Alloy. 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.
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.
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…