Calcagnotto, M.; Ponge, D.; Adachi, Y.; Raabe, D.: Effect of grain refinement to 1 µm on deformation and fracture mechanisms in ferrite/martensite dual-phase steels. 2nd International Conference on Super-High Strength Steels SHSS, Peschiera del Garda, Italy (2010)
Friák, M.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Identification of fundamental materials‐design limits in ultra lightweight Mg–Li alloys via quantum-mechanical calculations. Multiscale Materials Modeling, Freiburg, Germany (2010)
Zambaldi, C.; Raabe, D.: Surface Topographies after Nanoindentation and their Utilization to Quantify the Plastic Anisotropy of Gamma-TiAl on the Single Crystal Length Scale. MMM 2010, Freiburg, Germany (2010)
Zambaldi, C.; Roters, F.; Raabe, D.: Crystal plasticity modeling and experiments to improve the micromechanical understanding of single crystal gamma-TiAl and gamma-TiAl based microstructures. MMM 2010 Fifth International Conference Multiscale Materials Modeling, Freiburg, Germany (2010)
Krüger, T.: Analyzing blood properties by simulating suspensions of deformable particles: Shear stress and viscosity behavior. ICAMS Scientific Retreat, Akademie Biggesee, Attendorn (2010)
Hild, S.; Huemer, K.; Seidl, B.; Ziegler, A. S.; Fabritius, H.-O.; Raabe, D.: Crustacean cuticle: An example to study the influence of chemical composition and microstructure on the mechanical properties of hierarchically structured biological composite materials. Workshop Prospects in BIONIC, Leoben, Austria (2010)
Khorashadizadeh, A.; Winning, M.; Zaefferer, S.; Raabe, D.: Recrystallization and grain growth in ultra fine grained CuZr alloy processed by high pressure torsion. Materials Science and Engineering MSE 2010, Darmstadt, Germany (2010)
Winning, M.; Khorashadizadeh, A.; Raabe, D.: Characterization of the microstructure of ultra fine-grained materials processed by severe plastic deformation methods in the deformed and the annealed state. Materials Science and Engineering MSE 2010, Darmstadt, Germany (2010)
Winning, M.; Raabe, D.: Fast, physically-based algorithms for on-line calculations of texture and anisotropy during fabrication of steel sheets. Materials Science and Engineering MSE 2010, Darmstadt, Germany (2010)
Wu, X.; Erbe, A.; Fabritius, H.; Raabe, D.: Relation of ultrastructure and optical properties in the cuticle of beetles. Materials Science and Engineering MSE 2010, Darmstadt, Germany (2010)
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
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.