Sachs, C.; Yi, S. B.; Raabe, D.: Investigation of the Lattice Strain Evolution in Tension and Compression of Different Phases in the Mineralized Lobster Cuticle. MRS Spring Meeting, San Francisco, CA, USA (2008)
Bieler, T. R.; Eisenlohr, P.; Kumar, D.; Crimp, M. A.; Roters, F.; Raabe, D.: Localized Twin Shear at Grain Boundaries Leading to Fracture Nucleation. TMS annual meeting, New Orleans, LA, USA (2008)
Bieler, T. R.; Eisenlohr, P.; Kumar, D.; Crimp, M. A.; Roters, F.; Raabe, D.: Predicting Microcrack Nucleation Due to Slip-Twin Interactions at Grain Boundaries in Duplex Near Gamma-TiAl. TMS annual meeting, New Orleans, LA, USA (2008)
Counts, W. A.; Friák, M.; Raabe, D.; Neugebauer, J.: Using Ab Initio to Predict Engineering Parameters in bcc Magnesium-Lithium Alloys. American Physics Society March Meeting, New Orleans, LA, USA (2008)
Khorashadizadeh, A.; Raabe, D.; Winning, M.: Three-dimensional tomographic EBSD measurements of the crystal topology in heavily deformed ultra fine grained pure Cu and Cu–0.17wt%Zr obtained from ECAP and HPT. DPG Frühjahrstagung 2008, Berlin, Germany (2008)
Counts, W. A.; Friák, M.; Raabe, D.; Neugebauer, J.: Using Ab Initio to Predict Engineering Parameters in bcc Magnesium-Lithium Alloys. Deutsche Physikalische Gesellschaft Meeting, Berlin, Germany (2008)
Nikolov, S.; Raabe, D.; Sachs, C.; Fabritius, H.: Hierarchical modeling of the mechanical properties of hard biological tissues: Bone and lobster cuticle. MSU conference, MPIE Düsseldorf, Germany (2008)
Weber, F.; Schestakow, I.; Raabe, D.; Roters, F.: Investigation of texture and microstructure in a bent monocrystalline Cu-nanowire using EBSD and crystal plasticity finite element simulations. 7th GAMM Seminar on Microstructures, Bochum, Germany (2008)
Fabritius, H.; Sachs, C.; Nikolov, S.; Romano, P.; Hild, S.; Raabe, D.: Wie beeinflussen Struktur und chemische Zusammensetzung auf unterschiedlichen Längenskalen die mechanischen Eigenschaften von biologischen Materialien ? Institute Colloquium, Department of Polymer Science, Johannes Kepler University Linz (JKU), Linz, Austria (2008)
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.
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…