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
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
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…