Khorashadizadeh, A.; Raabe, D.; Winning, M.: Microstructure and texture evolution during high pressure torsion of a Cu0.17wt%Zr alloy. DPG Frühjahrstagung 2009, Dresden, Germany (2009)
Ma, D.; Friák, M.; Raabe, D.; Neugebauer, J.: Multi-physical alloy approaches to solid solution strengthening of Al. Deutsche Physikalische Gesellschaft 2009, Dresden, Germany (2009)
Ma, D.; Raabe, D.; Roters, F.; Maaß, R.; Van Swygenhoven, H.: Crystal Plasticity finite element method study on small scale plasticity. Deutsche Physikalische Gesellschaft 2009, Dresden, Germany (2009)
Dmitrieva, O.; Dondl, P.; Müller, S.; Raabe, D.: Structural investigations of the orientation patterning in plastically deformed single crystals. TMS 2009 Annual Meeting, San Francisco, CA, USA (2009)
Fabritius, H.; Hild, S.; Nikolov, S.; Ziegler, A.; Raabe, D.; Friák, M.; Neugebauer, J.: Variations in the constructional morphology of crustacean skeletal elements at different hierarchical levels. Third International Conference on Mechanics of Biomaterials & Tissues ICMOBT 2009, Clearwater, FL, USA (2009)
Ma, D.; Friák, M.; Knezevic, M.; Kalidindi, S. R.; Lebensohn, R. A.; Roters, F.; Neugebauer, J.; Raabe, D.: Polycrystal coarse graining of elastic properties for Ti-Nb biomedical grades using ab-initio single crystal elastic constants. International Plasticity Conference 2009, Virgin Islands, USA (2009)
Nikolov, S.; Sachs, C.; Fabritius, H.; Raabe, D.; Petrov, M.; Friák, M.; Neugebauer, J.: Modeling of the mechanical properties of lobster cuticle from ab initio to macroscale: How nature designs multifunctional composites with optimal properties. International Plasticity Conference 2009, Virgin Islands, USA (2009)
Ohsaki, S.; Raabe, D.; Hono, K.: Mechanical alloying and amorphization in Cu–Nb–Ag in situ composite wires studied by TEM and atom probe tomography. MRS 2009 Fall Meeting, Boston, MA, USA (2009)
Raabe, D.; Demir, E.; Zaefferer, S.: Experimental investigation of geometrically necessary dislocations beneath small indents of different depths using EBSD tomography. MRS 2009 Fall Meeting, Boston, MA, USA (2009)
Hild, S.; Ziegler, A.; Neues, F.; Epple, M.; Fabritius, H.; Raabe, D.: The Crustacean Cuticle: A Model to Study the Influence of Chemical Composition and Microstructure on the Mechanical Properties of a Biological Composite Material. MRS Fall Conference 2008, Boston, MA, USA (2008)
Zambaldi, C.; Roters, F.; Zaefferer, S.; Raabe, D.: Ductility of Gamma-TiAl-Based Microstructures in the Light of Deformation Mode Interaction-Crystal Plasticity Modeling and Micro-Mechanical Experiments. MRS Fall Conference 2008, Boston, MA, USA (2008)
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…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.