Voß, S.; Stein, F.; Palm, M.; Raabe, D.: Compositional Dependence of the Mechanical Properties of Laves Phases in the Fe–Nb(–Al) and Co–Nb(–Al) Systems. MRS Fall Meeting 2010, Boston, MA, USA (2010)
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)
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
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.
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…