Zambaldi, C.; Roters, F.; Zaefferer, S.; Raabe, D.: Crystal plasticity modeling for property extraction and the microstructure properties relation of intermetallic -TiAl nased alloys. 1st International Conference on Material Modelling (ICMM 1), Dortmund, Germany (2009)
Calcagnotto, M.; Ponge, D.; Raabe, D.: Effect of grain refinement to 1µm on the mechanical properties of dual-phase steels. European Congress and Exhibition on Advanced Materials and Processes (EUROMAT 2009), Glasgow, UK (2009)
Khorashadizadeh, A.; Winning, M.; Raabe, D.: Microstructure and Texture evolution during high pressure torsion of a CuZr alloy. Euromat 2009, Glasgow, UK (2009)
Ma, D.; Friák, M.; Raabe, D.; Neugebauer, J.: Investigation of solid solution strengthening by density functional theory. EUROMAT 2009, Glasgow, Scotland, UK (2009)
Peranio, N.; Schulz, S.; Li, Y. J.; Roters, F.; Raabe, D.; Masimov, M.; Springub, G.: Processing of dual-phase steel for automotive applications: Microstructure and texture evolution during annealing and numerical simulation by cellular automata. Euromat 2009 (European Congress and Exhibition on Advanced Materials and Processes), Glasgow, UK (2009)
Herrera, C.; Ponge, D.; Raabe, D.: Hot workability of 1.4362 duplex stainless steel. Euromat 2009 (European Congress and Exhibition on Advanced Materials and Processes), Glasgow, Scotland, UK (2009)
Ma, D.; Friák, M.; Raabe, D.; Neugebauer, J.: Investigation of solid solution strengthening by density functional theory. 11-th National Congress on Theoretical and Applied Mechanics, Borovets, Bulgaria (2009)
Friak, M.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Using Ab Initio Calculations in Designing BCC Mg–Li Alloys for Ultra Light-Weight Applications. THERMEC'2009: International Conference on PROCESSING & MANUFACTURING OF ADVANCED MATERIALS, Berlin, Germany (2009)
Gutierrez-Urrutia, I.; Zaefferer, S.; Raabe, D.: Effect of grain size and heterogeneous strain distribution on deformation twinning in a Fe–22Mn–0.6C TWIP steel. THERMEC 2009, Berlin, Germany (2009)
Eisenlohr, P.; Tjahjanto, D. D.; Roters, F.; Raabe, D.: Analysis of the relaxed grain cluster polycrystal homogenization scheme in texture prediction. 15th International Conference on the Strength of Materials (ICSMA-15), Dresden, Germany (2009)
Friak, M.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Theory guided design of bcc Mg-Li alloys for ultra-light weight applications. ICSMA 15: International Conference on the Strength of Materials, Dresden, Germany (2009)
Khorashadizadeh, A.; Winning, M.; Raabe, D.: Microstructure and Texture evolution during high pressure torsion of a CuZr alloy. 15th International Conference on the Strength of Materials ICSMA 2009, Dresden, Germany (2009)
Ma, D.; Friák, M.; Raabe, D.; Neugebauer, J.: Multi-physical alloy approaches to solid solution strengthening of Al. 15th International Conference of Strength of Materials, Dresden, Germany (2009)
Ma, D.; Raabe, D.; Roters, F.; Maaß, R.; van Swygenhoven, H.: Crystal plasticity finite element study on small scale plasticity of micropillars. 15th International Conference on the Strength of Materials (ICSMA-15), Dresden, Germany (2009)
Zambaldi, C.; Roters, F.; Raabe, D.: Crystal plasticity modeling and experiments for the microstructureproperties relationship in gamma TiAl based alloys. 15th International Conference on the Strength of Materials (ICSMA-15), Dresden, Germany (2009)
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…