Fabritius, H.; Sachs, C.; Raabe, D.: Influence of structural principles on the mechanics and efficiency of different biological materials using lobster cuticle as a model material. Second International Conference on Mechanics of Biomaterials & Tissues (ICMBT 2007), Lihue, HI, USA (2007)
Ma, A.; Roters, F.; Raabe, D.: Introducing the Effect of Grain Boundaries into Crystal Plasticity FEM Using a Non Local Dislocation Density Based Constitutive Model. Theory and Application to FCC Bi-Crystals. Euromech Colloquium 463, MPI für Eisenforschung GmbH, Düsseldorf, Germany (2007)
Bieler, T. R.; Roters, F.; Raabe, D.: Computational modeling of TiAl microstructures which developed microcracked grain boundaries. Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany (2006)
Bieler, T. R.; Roters, F.; Raabe, D.: Computational modeling of TiAl microstructures which developed microcracked grain boundaries. GKSS Research Center, Geesthacht, Germany (2006)
Raabe, D.; Zaafarani, N.; Roters, F.: 3D Study on Texture and Size Effects Below Nanoindents in Cu Single Crystals Using 3D FIB-EBSD and Crystal Plasticity Finite Element Simulations. MRS Fall Conference, Boston, MA, USA (2006)
Bastos, A.; Zaefferer, S.; Raabe, D.: 3D EBSD Characterization of a Nanocrystalline NiCo Alloy by use of a High-resolution Field Emission SEM-EBSD Coupled with Serial Sectioning in a Focused Ion Beam Microscope (FIB). MRS Fall Conference, Boston, MA, USA (2006)
Raabe, D.; Al-Sawalmih, A.; Raue, L.; Klein, H.; Fabritius, H.: Texture of Alpha-chitin and Calcite as a Microscopic Composite Design and Macroscopic Biological Construction Principle of the Exoskeleton of the Lobster Homarus americanus. MRS Fall Conference, Boston, MA, USA (2006)
Sachs, C.; Fabritius, H.; Raabe, D.: Mechanical Properties of the Lobster Cuticle Investigated by Bending Tests and Digital Image Correlation. MRS Fall Conference, Boston, MA, USA (2006)
Godara, A.; Raabe, D.; Green, S.: The influence of sterilization processes on the micromechanical properties of carbon fiber reinforced PEEK composites for bone-implant applications. 2006 MRS Fall Conference, Boston, MA, USA (2006)
Ohsaki, S.; Raabe, D.; Hono, K.: On the Mechanism of Mechanical Mixing and Deformation-induced Amorphization in Heavily Drawn Cu-Nb-Ag in situ Composite Wires. MRS Fall Conference, Boston, MA, USA (2006)
Raabe, D.; Sander, B.; Friák, M.; Neugebauer, J.: Bottom up design of novel Titanium-based biomaterials through the combination of ab-initio simulations and experimental methods. Materials Research Society fall meeting, Boston, MA, USA (2006)
Sandim, M.; Stamopoulos, D.; Sandim, H.; Ghivelder, L.; Thilly, L.; Vidal, V.; Lecouturier, F.; Raabe, D.: Strain Effects on the Magnetic Properties of Cu-Nb Nanofilamentary Composites. MRS Fall Conference, Boston, MA, USA (2006)
Bieler, T. R.; Crimp, M. A.; Roters, F.; Raabe, D.: Computational modeling of TiAl microstructures which developed microcracked grain boundaries. Institut für Metallkunde und Metallphysik RWTH-Aachen, Aachen, Germany (2006)
Bieler, T. R.; Crimp, M. A.; Roters, F.; Raabe, D.: Computational modeling of grain boundary microcrack nucleation using a slip interaction based definition of boundary character. Risø National Laboratories, Roskilde, Denmark (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…