Raabe, D.: Textures and Micromechanics in Experiment and Theory on Metals and Semi-Crystalline Polymers. Joint Colloquium of the University of Vienna and Technical University of Vienna, Vienna (2004)
Raabe, D.: Simulations and Experiments on Micromechanics in Metals and Polymers. Colloquium lecture at the Department for Theoretical Physics, University of Paderborn (2004)
Konrad, J.; Raabe, D.; Zaefferer, S.: Texturentwicklung beim Warmwalzen und bei der Rekristallisation von Fe3Al-Basislegierungen. Sitzung des DFG Fachausschuss Intermetallische Phasen, MPIE, Düsseldorf, Germany (2004)
Konrad, J.; Zaefferer, S.; Schneider, A.; Raabe, D.; Frommeyer, G.: Texturentwicklung beim Warmwalzen und bei der Rekristallisation von Fe3Al-Basislegierungen. Treffen des Fachausschusses Intermetallische Phasen, MPI Eisenforschung, Düsseldorf (2004)
Roters, F.; Ma, A.; Raabe, D.: The Texture Component Crystal Plasticity Finite Element Method. Keynote lecture at the Third GAMM (Society for Mathematics and Mechanics) Seminar on Microstructures, Stuttgart, Germany (2004)
Raabe, D.: Metallkundliche Ursachen und mechanische Auswirkungen unvollständiger Rekristallisation. Werkstoffausschuß des Vereins Deutscher Eisenhüttenleute, VDEh, Düsseldorf, German (2004)
Raabe, D.: Polycrystal Mechanics of Metals and Polymers - Experiments and Theory. Colloquium Lecture at the Massachusetts Institute of Technology, Cambridge, USA (2003)
Wang, Y.; Roters, F.; Raabe, D.: Simulation of Texture and Anisotropy during Metal Forming with Respect to Scaling Aspects. 1st Colloquium Process Scaling, Bremen, Germany (2003)
Raabe, D.: Simulation of Texture and Anisotropy during Metal Forming with Respect to Scaling Aspects. Lecture at the 1st Colloquium on Process Scaling, Bremen (2003)
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…
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…