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
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.
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.