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)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
The structures of grain boundaries (GBs) have been investigated in great detail. However, much less is known about their chemical features, owing to the experimental difficulties to probe these features at the near-atomic scale inside bulk material specimens. Atom probe tomography (APT) is a tool capable of accomplishing this task, with an ability…
Hydrogen embrittlement is one of the most substantial issues as we strive for a greener future by transitioning to a hydrogen-based economy. The mechanisms behind material degradation caused by hydrogen embrittlement are poorly understood owing to the elusive nature of hydrogen. Therefore, in the project "In situ Hydrogen Platform for…