Korbmacher, D.; von Pezold, J.; Spatschek, R.: Hydrogen embrittlement - A scale bridging perspective. 1st Austrian-German workshop on Computational Materials Design, Kramsach, Austria (2012)
Spatschek, R.; Fleck, M.; Pilipenko, D.; Brener, E.: Brittle fracture in viscoelastic materials as a pattern formation process. EUROMAT, Montpellier, France (2011)
Li, X.; Bottler, F.; Spatschek, R. P.; Scherf, A.; Heilmaier, M.; Stein, F.: Novel Lamellar in situ Composite Materials in the Al-Rich Part of the Fe-Al System. Int. Conf. The Materials Chain: From Discovery to Production, University Bochum, Bochum, Germany (2016)
Monas, A.; Spatschek, R.; Hueter, C.; Tabatabaei, F.; Brener, E. A.: Phase field modeling of phase transitions stimulated by Joule heating. Meeting of the SFB 917, Schleiden, Germany (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
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.