Stein, F.; He, C.: The Usefulness and Applicability of the Alkemade Theorem for the Determination of Ternary Phase Diagrams with Intermetallic Phases. TOFA 2014 – 14th Discussion Meeting on Thermodynamics of Alloys, Brno, Czech Republic (2014)
Stein, F.; Li, X.; Palm, M.; Scherf, A.; Janda, D.; Heilmaier, M.: Fe–Al Alloys with Fine-Scaled, Lamellar Microstructure: A New Candidate for Replacing Steels in High-Temperature Structural Applications? 60th Anniversary Metal Research Colloquium organized by the Department for Metal Research and Materials Testing of the University Leoben, Lech am Arlberg, Austria (2014)
Stein, F.: Stability, Structure and Mechanical Properties of Transition-Metal-Based Laves Phases. Institut de Chimie et des Matériaux, CNRS-Université Paris Est, Paris, France (2013)
Stein, F.: Experiments on the Peritectoid Decomposition Kinetics of the Intermetallic Phase Nb2Co7. 4th Sino-German Symposium on Computational Thermodynamics and Kinetics and Its Application to Materials Processing, Bochum, Germany (2013)
Stein, F.; Vogel, S. C.: Structure and Stability of the γ Brass-Type High-Temperature Phases in Al-Rich Fe–Al(–Mo) Alloys. Intermetallics 2013, Bad Staffelstein, Germany (2013)
Vogel, S. C.; Brown, D. W.; Okuniewski, M.; Stebner, A.; Stein, F.: Characterization of Intermetallics with the HIPPO & SMARTS Neutron Beam-Lines at LANSCE. Intermetallics 2013, Educational Center Kloster Banz, Bad Staffelstein, Germany (2013)
He, C.; Stein, F.: Thermodynamic Assessment of the Fe–Nb and Fe–Al–Nb Systems. HTMC XIV, 14th International IUPAC Conference on High Temperature Materials, Beijing, China (2012)
Stein, F.; He, C.: Experimental Investigations of the Fe–Al–Nb System: Solidification and Liquidus Surface. HTMC XIV, 14th International IUPAC Conference on High Temperature Materials, Beijing, China (2012)
Stein, F.; Voß, S.; Palm, M.: Mechanical properties of transition-metal laves phases. Plasticity 2012, Symp. on Plasticity and Its Current Applications, San Juan, Puerto Rico (2012)
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
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.