Grabke, H.-J.: Surface and interface reactions and diffusion during the high-temperature corrosion of metals and alloys. Defect and Diffusion Forum 194 - 199, pp. 1649 - 1660 (2001)
Müller-Lorenz, E. M.; Grabke, H.-J.: Metal dusting exposures of modified stainless steels. 5. Symp. on High Temperature Corrosion, pp. 955 - 962 (2001)
Piehl, C.; Tôkei, Z. S.; Grabke, H.-J.: Surface treatment and cold working as tools to improve oxidation behaviour of chromium steels. 5th Int. Symp. on High Temperature Corrosion, pp. 319 - 326 (2001)
Piehl, C.; Tôkei, Z. S.; Grabke, H.-J.: The role of fast diffusion paths in the selective oxidation of chromium steels. Defect and Diffusion Forum 194-199, pp. 1689 - 1694 (2001)
Sämann, N.; Spiegel, M.; Grabke, H.-J.: Influence of surface preparation on the corrosion of steels in simulated waste incineration environments. Materials Science Forum 369-372, pp. 963 - 970 (2001)
Grabke, H. J.; Müller-Lorenz, E. M.; Eltester, B.; Lucas, M.: Formation of chromium rich oxide scales for protection against metal dusting. Materials at High Temperatures 17 (2), pp. 339 - 345 (2000)
Grabke, H. J.; Müller-Lorenz, E. M.; Strauss, S.; Pippel, E.; Woltersdorf, J.: Effects of grain size, cold working, and surface finish on the metal-dusting resistance of steels. Oxidation of Metals 50 (3-4), pp. 241 - 254 (1998)
Grabke, H. J.; Müller-Lorenz, E. M.; Klöwer, J.; Agarwal, D. C.: Metal dusting of nickel-based alloys. Materials Performance 37 (7), pp. 58 - 63 (1998)
Grabke, H. J.; Müller-Lorenz, E. M.: Protection of high alloy steels against metal dusting by oxide scales. Materials and Corrosion-Werkstoffe und Korrosion 49 (5), pp. 317 - 320 (1998)
Schroer, C.; Spiegel, M.; Sauthoff, G.; Grabke, H.-J.: Fe–Cr–Si-alloys with enhanced resistance against high temperature corrosion in the presence of molten sulphate/chloride mixtures and HCl containing gases. Molten Salt Forum 5-6, pp. 441 - 446 (1998)
Biedenkopf, P.; Spiegel, M.; Grabke, H.-J.: High temperature corrosion of low and high alloy steels under molten carbonate fuel cell conditions. Materials and Corrosion-Werkstoffe und Korrosion 48 (8), pp. 477 - 488 (1997)
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) 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…
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.