Al-Sawalmih, A.; Romano, P.; Sachs, C.; Raabe, D.: Structure and texture analysis of chitin-bio-nanocomposites using synchrotron radiation. MRS Spring Meeting, San Francisco, CA, USA (2005)
Romano, P.; Al-Sawalmih, A.; Sachs, C.; Raabe, D.; Brokmeier, H. G.: Mesostructure, microstructure and anisotropy of the lobster cuticle. MRS Spring Meeting, San Francisco, CA, USA (2005)
Romano, P.; Raabe, D.; Al-Sawalmih, A.; Sachs, C.; Servos, G.; Hartwig, H. G.: Influence of sample preparation and anisotropy on lobster claw studied by LOM, SEM and TEM. Focus on Microscopy, Jena, Germany (2005)
Zaafarani, N.; Singh, R.; Zaefferer, S.; Roters, F.; Raabe, D.: 3D experimental investigation and crystal plasticity FEM simulation of the texture and microstructure below a nanoindent in a Cu-single crystal. 6th European Symposium on nano-mechanical Testing (Nanomech 6), Hückelhoven, Germany (2005)
Konrad, J.; Raabe, D.; Zaefferer, S.: Deformation Behavior of a Fe3Al Alloy During Thermomechanical Treatment. MRS Fall Meeting, Boston, MA, USA (2004)
Thomas, I.; Zaefferer, S.; Friedel, F.; Raabe, D.: Orientation dependent growth behaviour of subgrain structures in IF steel. 2nd International Joint Conference on Recrystallization and Grain Growth, Annecy, France (2004)
Konrad, J.; Raabe, D.; Zaefferer, S.: Nucleation Mechanisms of Recrystallization in Warm Rolled Fe3Al Base Alloys. Discussion Meeting on the Development of Innovative Iron Aluminium Alloys, MPIE, Düsseldorf, Germany (2004)
Roters, F.; Zhao, Z.; Raabe, D.: Development of a Grain Fragmentation Criterion and its Validation using Crystal Plasticity FEM Simulations. Meeting, Düsseldorf, Germany (2004)
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
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.
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.