Knezevic, V.; Sauthoff, G.: Strengthening of Martensitic/Ferritic 12%Cr Model Steels Through Laves Phase Precipitation. Euromat 2003, 8th European Congress on Advanced Materials and Processes, München, Germany (2003)
Risanti, D. D.; Sauthoff, G.: Strengthening of Hot Corrosion-Resistant Fe-Al alloys Through Laves Phase Precipitation. Euromat 2003, 8th European Congress on Advanced Materials and Processes, München, Germany (2003)
Stallybrass, C.; Sauthoff, G.: Ferritic Fe–Al–Ni–Cr alloys for high temperature applications. Thirteenth International Conference on the Strength of Materials (ICSMA XIII), Budapest, Hungary (2003)
Schneider, A.; Falat, L.; Sauthoff, G.; Frommeyer, G.: Microstructures and Mechanical Properties of Fe–Al–C and Fe–Al–M–C (M = Ti, V, Nb, Ta) Alloys. TMS Annual Meeting - Intern. Symp. Intermetallic and Advanced Metallic Materials - A Symposium Dedicated to Dr. C. T. Li on His 65th Birthday, San Diego, CA, USA (2003)
Stein, F.; Palm, M.; Sauthoff, G.: Structures and Stability of Laves Phases. TMS Annual Meeting - Intern. Symp. Intermetallic and Advanced Metallic Materials - A Symposium Dedicated to Dr. C. T. Li on His 65th Birthday, San Diego, CA, USA (2003)
Schneider, A.; Frommeyer, G.; Sauthoff, G.: Intermetallics for High-Temperature Applications - Needs and Prospects. Intern. Symp. Progress of Metal Science, Tokyo (2002)
Stein, F.; Sauthoff, G.; Palm, M.: Intermetallic Phases and Phase Equilibria in the Fe–Zr and Fe–Zr–Al Systems. Discussion Meeting on Thermodynamics of Alloys (TOFA 2002), Rome, Italy (2002)
Palm, M.; Sauthoff, G.: Characterization and Processing of an Advanced Intermetallic NiAl-Base Intermetallic Alloy for High-Temperature Applications. Structural Intermetallics 2001 (ISSI-3), Jackson Hole, Wyoming (2002)
Stein, F.; Zhang, L.; Palm, M.; Sauthoff, G.: Al-Ti Alloys with Al-Rich Titanium Aluminides: Phase Equilibria, Evolution of Phases and Strength of Lamellar TiAl+r-Al2Ti Alloys. Structural Intermetallics 2001 (ISSI-3), Jackson Hole, Wyoming, USA (2002)
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…