Stein, F.; Vogel, S. C.; Eumann, M.; Palm, M.: Determination of the crystal structure of the ε phase in the Fe–Al system by high-temperature neutron diffraction. Intermetallics 18 (1), pp. 150 - 156 (2010)
Krein, R.; Palm, M.; Heilmaier, M.: Characterization of microstructures, mechanical properties, and oxidation behavior of coherent A2 + L21 Fe–Al–Ti. Journal of Materials Research 24 (11), pp. 3412 - 3421 (2009)
Palm, M.: Phase equilibria in the Fe corner of the Fe–Al–Nb system between 800 and 1150°C. Journal of Alloys and Compounds 475 (1-2), pp. 173 - 177 (2009)
Palm, M.: Fe–Al materials for structural applications at high temperatures: Current research at MPIE. International Journal of Materials Research 100 (3), pp. 277 - 287 (2009)
Eumann, M.; Sauthoff, G.; Palm, M.: Phase equilibria in the Fe–Al–Mo system - Part II: Isothermal sections at 1000 and 1150 °C. Intermetallics 16 (6), pp. 834 - 846 (2008)
Krein, R.; Palm, M.: The influence of Cr and B additions on the mechanical properties and oxidation behaviour of L21-ordered Fe-Al-Ti-based alloys at high temperatures. Acta Materialia 56 (10), pp. 2400 - 2405 (2008)
Eumann, M.; Sauthoff, G.; Palm, M.: Phase equilibria in the Fe–Al–Mo system - Part I: Stability of the Laves phase Fe2Mo and isothermal section at 800 °C. Intermetallics 16 (5), pp. 706 - 716 (2008)
Stein, F.; Palm, M.: Re-determination of transition temperatures in the Fe–Al system by differential thermal analysis. International Journal of Materials Research 98 (7), pp. 580 - 588 (2007)
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
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…
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.
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.