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
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…