Zambaldi, C.; Roters, F.; Bieler, T. R.; Raabe, D.: Micro-mechanical modeling of near-gamma Ti-Al-Nb. 11th World Conference on Titanium (JIMIC5) Ti-2007, Kyoto, Japan (2007)
Frommert, M.; Dorner, D.; Lahn, L.; Raabe, D.; Zaefferer, S.: 3D Investigation of Early Stages of Recrystallization in Deformed Goss-Oriented Fe3%Si Single Crystals. The Third International Conference on Recrystallization and Grain Growth ReX & GG III, Jeju Island, South Korea (2007)
Bastos, A.; Zaefferer, S.; Raabe, D.: 3 Dimensional EBSD study of the relationship between triple junctions and columnar grain in electrodeposited materials. Electron Back Scatter Diffraction Meeting 2007, New Lanark, Scotland, UK (2007)
Petrov, M.; Friák, M.; Lymperakis, L.; Neugebauer, J.; Raabe, D.: Hardness anisotropy of crystalline alpha-chitin: An ab-initio based conformational analysis. Spring meeting of the German Physical Society (DPG), Regensburg, Germany (2007)
Petrov, M.; Friák, M.; Lymperakis, L.; Neugebauer, J.; Raabe, D.: An ab-initio study of hardness anisotropy of crystalline alpha-chitin. International Max-Planck Workshop on Multiscale Modeling of Condensed Matter, Sant Feliu de Guixols, Spain (2007)
Pinto, H.; Sawalmih, A.; Raabe, D.; Pyzalla, A.: Residual Stresses in the Exoskeleton of a Homarus americanus Lobster. SNI 2006, German Conference for Research with Synchrotron Radiation, Neutrons and Ion Beams at Large Facilities, Hamburg, Germany (2006)
Pinto, H.; Sawalmih, A.; Raabe, D.; Pyzalla, A.: Residual Stresses in the Exoskeleton of a Homarus americanus Lobster. SNI 2006, German Conference for Research with Synchrotron Radiation, Neutrons and Ion Beams at Large Facilities, Hamburg, Germany (2006)
Bieler, T. R.; Crimp, M. A.; Roters, F.; Raabe, D.: A Slip Interaction Based measure of Damage Nucleation in Grain boundaries. MMM Third International Conference Multiscale Materials Modeling, Freiburg, Germany (2006)
Pinto, H.; Sawalmih, A.; Raabe, D.; Pyzalla, A.: Residual Stresses in the Exoskeleton of a Homarus americanus Lobster. 7th European Conference on Residual Stresses (ECRS 7), Berlin, Germany (2006)
Bieler, T. R.; Crimp, M. A.; Ma, A.; Roters, F.; Raabe, D.: Slip Interactions Leading to Damage Nucleation in TiAl Grain Boundaries. 3rd International Workshop on - TiAl Technologies, Bamberg, Germany (2006)
Friák, M.; Neugebauer, J.; Sander, B.; Raabe, D.: Ab initio study of chemical and structural trends of Ti-based binary alloys. Materials Research Society fall meeting, Boston, MA, USA (2006)
Bastos da Silva, A. F.; Zaefferer, S.; Raabe, D.: Three Dimension Characterization of Electrodeposited Samples. MRS Fall Meeting, Boston, MA, USA (2005)
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)
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
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…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…