Kumar, K. S.; Stein, F.; Palm, M.: An in-situ electron microscopy study of microstructural evolution in a Co–Co2Nb binary alloy. MRS Fall Meeting 2008, Boston, MA, USA (2008)
Vogel, S. C.; Eumann, M.; Palm, M.; Stein, F.: Investigation of the crystallographic structure of the ε phase in the Fe–Al system by high-temperature neutron diffraction. 20th Annual Rio Grande Symposium on Advanced Materials 2008, Albuquerque, NM, USA (2008)
Kumar, K. S.; Stein, F.; Palm, M.: Preliminary in-situ TEM observations of phase transformations in a Co–15 at.% Nb alloy. Workshop "The Nature of Laves Phases XI", MPIE Düsseldorf, Germany (2008)
Stein, F.; Ishikawa, S.; Takeyama, M.; Kumar, K. S.; Palm, M.: Phase equilibria in the Cr–Ti system studied by diffusion couples and equilibrated two-phase alloys. Workshop "The Nature of Laves Phases XI", MPI für Eisenforschung, Düsseldorf, Germany (2008)
Stein, F.; Prymak, O.; Dovbenko, O. I.; Palm, M.: Phase equilibria of Laves phases in ternary Nb–X–Al systems with X = Cr, Fe, Co. Discussion Meeting on Thermodynamics of Alloys - TOFA 2008, Krakow, Poland (2008)
Vogel, S. C.; Eumann, M.; Palm, M.; Stein, F.: Investigation of the crystallographic structure of the ε phase in the Fe–Al system by high-temperature neutron diffraction. American Conference on Neutron Scattering (ACNS 2008), Santa Fe, New Mexico, USA (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 aluminides at high temperature. TMS Annual Meeting 2008, New Orleans, LA, USA (2008)
Brunetti, G.; Krein, R.; Grosdidier, T.; Palm, M.: Evaluation of the Brittle-to-Ductile Transition Temperature (BDTT)and the fracture modes in Fe–Al–X alloys. 4th Discussion Meeting on the Development of Innovative Iron Aluminium Alloys, Interlaken, Switzerland (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.
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.