Fabritius, H.; Karsten, E. S.; Balasundaram, K.; Hild, S.; Huemer, K.; Raabe, D.: Correlation of structure, composition and local mechanical properties in the dorsal carapace of the edible crab Cancer pagurus. 11, pp. 766 - 776 (2012)
Gutierrez-Urrutia, I.; Raabe, D.: Study of deformation twinning and planar slip in a TWIP steel by Electron Channeling Contrast Imaging in a SEM. Materials Science Forum 702 - 703, pp. 523 - 529 (2012)
Gutierrez-Urrutia, I.; Raabe, D.: Dislocation density measurement by electron channeling contrast imaging in a scanning electron microscope. Scripta Materialia 66, pp. 343 - 346 (2012)
Gutiérrez-Urrutia, I.; Raabe, D.: New insights on quantitative microstructure characterization by electron channeling contrast imaging under controlled diffraction conditions in SEM. Microscopy and Microanalysis 18 (2), pp. 686 - 687 (2012)
He, D.; Zhu, J. C.; Zaefferer, S.; Raabe, D.; Liu, Y.; Lai, Z. L.; Yang, X. W.: Influences of deformation strain, strain rate and cooling rate on the Burgers orientation relationship and variants morphology during beta -> alpha phase transformation in a near alpha titanium alloy. Materials Science and Engineering A 549, pp. 20 - 29 (2012)
Maniruzzaman, M.; Rahman, M. A.; Gafur, M. A.; Fabritius, H.; Raabe, D.: Modification of pineapple leaf fibers and graft copolymerization of acrylonitrile onto modified fibers. Journal of Composite Materials 46, pp. 79 - 90 (2012)
Marquis, E. A.; Choi, P.; Danoix, F.; Kruska, K.; Lozano-Perez, S.; Raabe, D.; Williams, C. A.: New insights into the atomic-scale structures and behavior of steels. Microscopy Today 20, pp. 44 - 48 (2012)
Sandim, H. R. Z.; Renzetti, R. A.; Padilha, A. F.; Möslang, A.; Lindau, R.; Raabe, D.: Annealing Behavior of RAFM ODS-Eurofer Steel. Fusion Science and Technology 61 (2), pp. 136 - 140 (2012)
Seol, J.-B.; Raabe, D.; Choi, P.; Im, Y. R.; Park, C. G.: Atomic scale effects of alloying, partitioning, solute drag and austempering on the mechanical properties of high-carbon bainitic–austenitic TRIP steels. Acta Materialia 60, pp. 6183 - 6199 (2012)
Springer, H.; Raabe, D.: Rapid alloy prototyping: Compositional and thermo-mechanical high throughput bulk combinatorial design of structural materials based on the example of 30Mn–1.2C–xAl triplex steels. Acta Materialia 60, pp. 4950 - 4959 (2012)
Zheng, C.; Raabe, D.; Li, D.: Prediction of post-dynamic austenite-to-ferrite transformation and reverse transformation in a low-carbon steel by cellular automaton modeling. Acta Materialia 60, pp. 4768 - 4779 (2012)
Calcagnotto, M.; Adachi, Y.; Ponge, D.; Raabe, D.: Deformation and fracture mechanisms in fine- and ultrafine-grained ferrite/martensite dual-phase steels and the effect of aging. Acta Materialia 59 (2), pp. 658 - 670 (2011)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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
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…