Horiuchi, T.; Stein, F.: Precipitation Behavior of Co7Nb2 from Supersaturated Co Solid Solution in Co–Nb Binary System. Intermetallics 2015, Educational Center Kloster Banz, Bad Staffelstein, Germany (2015)
Luo, W.; Kirchlechner, C.; Dehm, G.; Stein, F.: A New Method to Study the Composition Dependence of Mechanical Properties of Laves Phases. Intermetallics 2015, Educational Center Kloster Banz, Bad Staffelstein, Germany (2015)
Stein, F.; Vogel, S. C.; Eumann, M.; Palm, M.: In-situ Neutron Diffraction Experiments on the Effect of Mo on the Structure of the High-Temperature ε Phase of the Fe–Al System. 5th Discussion Meeting on the Development of Innovative Iron Aluminium Alloys (FEAL 2009), Prague, Czech Republic (2009)
Zaefferer, S.; Ishikawa, S.; Stein, F.: Distinction of different Laves phase types by EBSD in a TiCr diffusion couple: Robust detection of subtle differences in EBSD patterns. Electron Backscatter Diffraction Meeting, RMS Conference, Sheffield, UK (2008)
Liapina, T.; Spiegel, M.; Stein, F.: Short-term oxidation of Fe–Al: Effect of ternary elements and Al content. 4th Discussion Meeting on the Development of Innovative Iron Aluminium Alloys, Interlaken, Switzerland (2007)
Vogel, S. C.; Eumann, M.; Palm, M.; Stein, F.: Investigation of the crystallographic structure of the ε phase in the Fe–Al system by high-temperature neutron diffraction. 4th Discussion Meeting of the Development of Innovative Iron Aluminium Alloys, Interlaken, Switzerland (2007)
Palm, M.; Risanti, D.-D.; Stallybrass, C.; Stein, F.; Sauthoff, G.: Strengthening of Corrosion-Resistant Fe–Al Alloys Through Intermetallic Precipitates. Discussion Meeting on the Development of Innovative Iron Aluminium Alloys, Düsseldorf, Germany (2004)
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…