Auinger, M.; Vogel, D.; Vogel, A.; Spiegel, M.; Rohwerder, M.: A novel laboratory set-up for investigating surface and interface reactions during short term annealing cycles at high temperatures. Review of Scientific Instruments 84, 085108 (2013)
Swaminathan, S.; Rohwerder, M.; Rohwerder, M.; Spiegel, M.: Temperature and dew point dependent segregation of phosphorus and sulfur in Fe–Mn–P–S model alloy. Surface and Coatings Technology 205 (16), pp. 4089 - 4093 (2011)
Asteman, H.; Spiegel, M.: A comparison of the oxidation behaviours of Al2O3 formers and Cr2O3 formers at 700 °C - Oxide solid solutions acting as a template for nucleation. Corrosion Science 50 (6), pp. 1734 - 1743 (2008)
Swaminathan, S.; Spiegel, M.: Effect of alloy composition on the selective oxidation of ternary Fe–Si–Cr, Fe–Mn–Cr model alloys. Surface and Interface Analysis 40 (3-4), pp. 268 - 272 (2008)
Mardare, C. C.; Spiegel, M.; Savan, A.; Ludwig, A.: Investigation of thin coatings from Mn–Co system deposited by PVD on metallic interconnects for SOFC Applications. Material Science Forum 595-598, pp. 797 - 804 (2008)
Swaminathan, S.; Koll, T.; Pohl, M.; Wieck, A. D.; Spiegel, M.: Hot-dip galvanizing simulation of model alloys and industrial steel grades: Correlation between surface chemistry and wettability. Steel Res. Int. 79 (1), pp. 66 - 72 (2008)
Asteman, H.; Spiegel, M.: Investigation of the HCl (g) attack on pre-oxidized pure Fe, Cr, Ni and commercial 304 steel at 400 °C. Corrosion Science 49 (9), pp. 3626 - 3637 (2007)
Li, Y. S.; Niu, Y.; Spiegel, M.: High temperature interaction of Al/Si-modified Fe–Cr alloys with KCl. Corrosion Science 49 (4), pp. 1799 - 1815 (2007)
Ruh, A.; Spiegel, M.: Thermodynamic and kinetic consideration on the corrosion of Fe, Ni and Cr beneath a molten KCl-ZnCl2 micture. Corr.Sci. 48, pp. 679 - 695 (2006)
Ruh, A.; Spiegel, M.: Influence of gas phase composition on the kinetics of chloride melt induced corrosion of pure iron. Mater. and Corr. 57, pp. 237 - 243 (2006)
Sánchez Pastén, M.; Spiegel, M.: High temperature corrosion of metallic materials in simulated waste incineration environments at 300-600 °C. Mater. and Corr. 57, pp. 192 - 195 (2006)
Li, Y. S.; Spiegel, M.; Shimada, S.: Corrosion behaviour of model alloys with NaCl–KCl coating. Materials Chemistry and Physics 93 (1), p. 217 - 217 (2005)
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
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…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
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.