Su, J.; Raabe, D.; Li, Z.: Hierarchical microstructure design to tune the mechanical behavior of an interstitial TRIP-TWIP high-entropy alloy. Acta Materialia 163, pp. 40 - 54 (2019)
Kim, J.-K.; Guo, W.; Choi, P.-P.; Raabe, D.: Compositional evolution of long-period stacking ordered structures in magnesium studied by atom probe tomography. Scripta Materialia 156, pp. 55 - 59 (2018)
Scientists at the Max Planck Institute for Sustainable Materials have developed a carbon-free, energy-saving method to extract nickel for batteries, magnets and stainless steel.
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