Scherf, A.; Li, X.; Stein, F.; Heilmaier, M.: Creep Properties and Microstructure of Binary Fe-Al Alloys with a Fine-Scaled, Lamellar Microstructure. Creep 2015, 13th International Conference on Creep and Fracture of Engineering Materials and Structures, Toulouse, France (2015)
Scherf, A.; Li, X.; Stein, F.; Heilmaier, M.: Creep Properties and Microstructure of Binary Fe–Al Alloys with a Fine-Scaled, Lamellar Microstructure. Intermetallics 2015, Educational Center Kloster Banz, Bad Staffelstein, Germany (2015)
Stein, F.: Phase Diagrams and Phase Transformations. Intermetallics 2015 Conference, School on Thermodynamics of Intermetallics, Educational Center Kloster Banz, Staffelstein, Germany (2015)
Li, X.; Stein, F.; Scherf, A.; Janda, D.; Heilmaier, M.: Investigation of Fe–Al Based in situ Composites with Fine Lamellar Eutectoid Microstructure. MRS Fall Meeting 2014
, Boston, MA, USA (2014)
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)
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
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
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…