Frommeyer, G.; Jiménez, J. A.: Structural Superplasticity at Higher Strain Rates of Hypereutectoid Fe-5.5Al-1Sn-1Cr-1.3C Steel. Metallurgical and Materials Transaction 36 A, pp. 295 - 300 (2005)
Gnauk, J.; Wenke, R.; Frommeyer, G.: Macroscopic modeling of solidification processes by performing the generalized enthalpy method. Materials Science and Engineering: A 413-414, pp. 490 - 496 (2005)
Jiménez, J. A.; Carsi, M.; Frommeyer, G.; Knippscheer, S.; Wittig, J.; Ruano, O. A.: The effect of microstructure on the creep behavior of the ti-46al-1Mo-0.2Si alloy. Intermetallics 13, pp. 1021 - 1029 (2005)
Kobayashi, S.; Zaefferer, S.; Schneider, A.; Raabe, D.; Frommeyer, G.: Slip system determination by rolling texture measurements around the strength peak temperature in a Fe3Al-based alloy. Materials Science and Engineering A 387–389, pp. 950 - 954 (2004)
Deges, J.; Fischer, R.; Frommeyer, G.; Schneider, A.: Atom probe field ion microscopy investigations on the intermetallic Ni49.5Al49.5Re1 alloy. Surface and Interface Analysis 36, pp. 533 - 539 (2004)
Rablbauer, R.; Fischer, R.; Frommeyer, G.: Mechnical properties of NiAl–Cr alloys in relation to microstructure and atomic defects. Zeitschrift für Metallkunde 95 (6), pp. 525 - 534 (2004)
Fischer, R.; Frommeyer, G.; Schneider, A.: APFIM investigations on site preferences, superdislocations, and antiphase boundaries in NiAl(Cr) with B2 superlattice structure. Materials Science and Engineering A 353, pp. 87 - 91 (2003)
Frommeyer, G.; Brüx, U.; Neumann, P.: Supra-Ductile and High-Strength Manganese-TRIP/TWIP Steels for High Energy Absorption Purposes. Iron and Steel Institue of Japan International Vol. 43 (3), pp. 438 - 446 (2003)
Frommeyer, G.; Hofmann, H.; Löhr, J.: Structural Superplasticity at High Strain Rates of Super Duplex Stainless Steel Fe-25Cr-7Ni-3Mo-0.3N. Steel Research 74 (5), pp. 338 - 344 (2003)
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…