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
New product development in the steel industry nowadays requires faster development of the new alloys with increased complexity. Moreover, for these complex new steel grades, it is more challenging to control their properties during the process chain. This leads to more experimental testing, more plant trials and also higher rejections due to…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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…