Tytko, D.; Choi, P.-P.; Klöwer, J.; Inden, G.; Raabe, D.: Microstructural evolution of a Ni-based superalloy (617B) at 700 °C studied by electron microscopy and atom probe tomography. Acta Materialia 60 (4), pp. 1731 - 1740 (2012)
Calcagnotto, M.; Ponge, D.; Raabe, D.: On the Effect of Manganese on Grain Size Stability and Hardenability in Ultrafine-Grained Ferrite/Martensite Dual-Phase Steels. Metallurgical and Materials Transactions A 43A, pp. 37 - 46 (2012)
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)
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
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…