Stein, F.: Experimental Determination of Phase Diagrams. Lecture: Lecture at the 3rd MSIT Winter School on Materials Chemistry, Castle Ringberg, Tegernsee, March 04, 2019 - March 07, 2019
Stein, F.: Experimental Determination of Phase Diagrams. Lecture: 6th APDIC World Round Robin Seminar, 2nd MSIT Winter School on Materials Chemistry, Schloss Ringberg, Tegernsee, Germany, February 11, 2018 - February 14, 2018
Stein, F.: Phase Diagrams – Why You Need Them, How You Can Use Them, and How You Can Generate Them. Lecture: MPIE lecture series, Düsseldorf, Germany, February 06, 2017
Palm, M.; Stein, F.; Pyczak, F.: Co-organization and co-chair the priority topic “Hochtemperaturwerkstoffe“ (high temperature materials) at the 62. Metallkunde Kolloquium. (2016)
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.