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)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.