Calcagnotto, M.; Ponge, D.; Demir, E.; Raabe, D.; Zaefferer, S.: 3D-EBSD Investigation on Orientation Gradients and Geometrically Necessary Dislocations Induced by the Martensitic Phase Transformation in Ultrafine Grained Dual-Phase Steels. Interdisciplinary Symposium on 3D Microscopy, Interlaken, Switzerland (2009)
Khorashadizadeh, A.; Winning, M.; Zaefferer, S.; Raabe, D.: 3D tomographic EBSD characterization of crystal topology in a CuZr alloy processed by equal channel angular pressing. Interdisciplinary Symposium on 3D Microscopy, Interlaken, Switzerland (2009)
Counts, W. A.; Friák, M.; Raabe, D.; Neugebauer, J.: Fundamental materials-design limits in ultra light-weight Mg-Li alloys determined from ab initio calculations. Seminar in the Department of Low Dimensional Structures and Metastable Phases at the Max Planck Institute for Metals Research, Stuttgart, Germany (2009)
Counts, W. A.; Friák, M.; Raabe, D.; Neugebauer, J.: Ab initio determined materials-design limits in ultra light-weight Mg-Li alloys. Seminar in the Department of Strukture at the Institute of Physics of Materials of the Academy of Sciences of the Czech Republic and Institute of Chemistry of the Faculty of Sciences of Masaryk University, Brno, Czech Republic (2009)
Friák, M.; Sander, B.; Ma, D.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Ab-initio based multi-scale approaches to the elasticity of polycrystals. Seminar at the Department of Physical Metallurgy and Materials Testing at Montan Universität Leoben, Leoben, Austria (2009)
Dmitrieva, O.; Dondl, P.; Müller, S.; Raabe, D.: Microstructure in shear deformed copper single crystals. Final meeting of the Research Group 797, MPI für Eisenforschung GmbH, Düsseldorf, Germany (2009)
Gutierrez-Urrutia, I.; Zaefferer, S.; Raabe, D.: Quantitative electron channelling contrast imaging: A promising tool for the study of dislocation structures in SEM. Electron Backscatter Diffraction Meeting, Swansea, UK (2009)
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)
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
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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.