Sachs, C.; Fabritius, H.; Pitsch, F.; Raabe, D.: Nanoindentation as tool to investigate micro-mechanical properties in the hierarchical structure of biological materials. MRS Fall Meeting, Boston, MA, USA (2007)
Eisenlohr, P.; Hantcherli, L.; Bastos, A.; Raabe, D.: Mechanismen bei der Verformung hochfester Stähle: Charakterisierung, Simulation, Eigenschaften. 29. Symposium des Arbeitskreises "Mathematik in Forschung und Praxis" über "Neue Modelle zur Simulation höchstfester Stähle", Bad Honnef, Germany (2007)
Raabe, D.; Roters, F.; Ma, D.; Zaefferer, S.; Friák, M.; Zaafarani, N.: Orientation patterning below indents and Bottom-up mechanical design by using quantum mechanics. Symposium Multiscale Plasticity of Crystalline Materials of the International Union of Theoretical and Applied Mechanics (IUTAM), TU Eindhoven, The Netherlands (2007)
Friák, M.; Sander, B.; Ma, D.; Raabe, D.; Neugebauer, J.: Phase stability and mechanical properties of alloys. International Max-Planck Workshop on Multiscale Modeling of Condensed Matter, Sant Feliu de Guixols, Spain (2007)
Calcagnotto, M.; Ponge, D.; Raabe, D.: Fabrication of Ultrafine Grained Ferrite/Martensite Dual Phase Steel by Large Strain Warm Deformation and Subsequent Intercritical Annealing. ISUGS 2007 (International Symposium on Ultrafine Grained Steels), Kitakyushu, Japan (2007)
Hantcherli, L.; Eisenlohr, P.; Roters, F.; Raabe, D.: Application of a Phenomenological Approach to Mechanical Twinning in Crystal Plasticity Finite Element Modelling of High-Mn Steel. EUROMAT 2007, Nürnberg, Germany (2007)
Nikolov, S.; Sachs, C.; Counts, W. A.; Fabritius, H.; Raabe, D.: Modeling of the Mechanical Behavior of Bone at Submicron Scale through Mean-Field Homogenization. European Congress and Exhibition on Advanced Materials and Processes (EUROMAT 2007), Nürnberg, Germany (2007)
Prymak, O.; Stein, F.; Frommeyer, G.; Raabe, D.: Phase equilibria in the Nb–Cr–Al system at 1150, 1300 and 1450 °C. Workshop "The Nature of Laves Phases IX", Stuttgart, Germany (2007)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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.
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…