Stein, F.; Leineweber, A.: Laves phases: a review of their functional and structural applications and an improved fundamental understanding of stability and properties. Journal of Materials Science 56, pp. 5321 - 5427 (2021)
Distl, B.; Dehm, G.; Stein, F.: Effect of Oxygen on High‐temperature Phase Equilibria in Ternary Ti‐Al‐Nb Alloys. Zeitschrift für anorganische und allgemeine Chemie 646 (14), pp. 1151 - 1156 (2020)
Luo, W.; Kirchlechner, C.; Li, J.; Dehm, G.; Stein, F.: Composition dependence of hardness and elastic modulus of the cubic and hexagonal NbCo2 Laves phase polytypes studied by nanoindentation. Journal of Materials Research 35 (2), pp. 185 - 195 (2020)
Stein, F.; Merali, M.; Watermeyer, P.: The Co–Ti system revisited: About the cubic-to-hexagonal Laves phase transformation and other controversial features of the phase diagram. Calphad 67, 101681 (2019)
Luo, W.; Kirchlechner, C.; Fang, X.; Brinckmann, S.; Dehm, G.; Stein, F.: Influence of composition and crystal structure on the fracture toughness of NbCo2 Laves phase studied by micro-cantilever bending tests. Materials and Design 145, pp. 116 - 121 (2018)
Li, X.; Schmitt, A.; Heilmaier, M.; Stein, F.: The Effect of the Ternary Elements B, Ti, Cr, Cu, and Mo on Fully Lamellar FeAl + FeAl2 Alloys. Journal of Alloys and Compounds 722, pp. 219 - 228 (2017)
He, C.; Qin, Y.; Stein, F.: Thermodynamic Assessment of the Fe–Al–Nb System with Updated Fe–Nb Description. Journal of Phase Equilibra and Diffusion 38 (5), pp. 771 - 787 (2017)
Li, X.; Scherf, A.; Heilmaier, M.; Stein, F.: The Al-Rich Part of the Fe–Al Phase Diagram. Journal of Phase Equilibra and Diffusion 37 (2), pp. 162 - 173 (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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.