Raabe, D.: News from the Iron Age – 3D EBSD and fresh Lobster. Anorganisch-Chemisches Kolloquium der Fakultät für Chemie, TU Dresden und Max-Planck-Instituts für Chemische Physik fester Stoffe, Dresden, Germany (2005)
Raabe, D.; Al-Sawalmih, A.; Brokmeier, H. G.; Yi, S. B.: Texture and Smart Anisotropy of the Exoskeleton Tissue of Lobster. MRS Spring Meeting 2005, San Francisco, CA, USA (2005)
Konrad, J.; Raabe, D.; Zaefferer, S.: Investigation of orientation gradients around particles and their influence on particle stimulated nucleation in a hot rolled Fe3Al based alloy by applying 3D EBSD. DPG Frühjahrstagung, Berlin, Germany (2005)
Bastos, A.; Zaefferer, S.; Raabe, D.: Characterization of nanostructured electrodeposited NiCo Samples by use of Electron Backscatter Diffraction (EBSD). MRS Spring Meeting, San Francisco, CA, USA (2005)
Raabe, D.: Kristallmechanik in Metallen und Polymeren. Vom Werkstoffverständnis zum Wettbewerbsvorteil, Fraunhofer Institut für Werkstoffmechanik, Freiburg (2005)
Raabe, D.: Simulationen und Experimente zur Kristallmechanik. Instituts-Kolloquium am Institut für Festkörper- und Werkstoffforschung (IFW), Dresden, Germany (2005)
Roters, F.; Jeon-Haurand, H. S.; Raabe, D.: A texture evolution study using the Texture Component Crystal Plasticity FEM. Plasticity 2005, Kauai, USA (2005)
Raabe, D.: The role of texture and anisotropy in nano- and microscale materials mechanics. Keynote lecture at the Plasticity Conference 2004/2005, Hawai, USA (2005)
Raabe, D.: Using the Lattice Boltzmann Method for Multiscale Modeling in Materials Science and Engineering. Lecture at the Plasticity Conference 2004/2005, Hawai, USA (2005)
Raabe, D.; Romano, P.; Al-Sawalmih, A.; Sachs, C.; Servos, G.; Hartwig, H. G.: Microstructure and Mesostructure of the exoskeleton of the lobster homarus americanus. MRS Spring Meeting, San Francisco, CA, USA (2005)
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
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…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
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…