Stein, F.: Experimental Determination of Phase Diagrams. Lecture: Lecture at the 3rd MSIT Winter School on Materials Chemistry, Castle Ringberg, Tegernsee, March 04, 2019 - March 07, 2019
Stein, F.: Experimental Determination of Phase Diagrams. Lecture: 6th APDIC World Round Robin Seminar, 2nd MSIT Winter School on Materials Chemistry, Schloss Ringberg, Tegernsee, Germany, February 11, 2018 - February 14, 2018
Stein, F.: Phase Diagrams – Why You Need Them, How You Can Use Them, and How You Can Generate Them. Lecture: MPIE lecture series, Düsseldorf, Germany, February 06, 2017
Palm, M.; Stein, F.; Pyczak, F.: Co-organization and co-chair the priority topic “Hochtemperaturwerkstoffe“ (high temperature materials) at the 62. Metallkunde Kolloquium. (2016)
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…
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.
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.