Haghighat, S. M. H.; Eggeler, G.; Raabe, D.: Discrete dislocation dynamics modeling of loading orientation effect on the low stress creep of single crystal Ni base superalloys. Intermetallics 2013, Bad Staffelstein, Germany (2013)
Schemmann, L.; Zaefferer, S.; Raabe, D.: Influence of the inheritance of chemical elements on the transformation behaviour during intercritical annealing of DP steel strips. Euromat 2013, Sevilla, Spain (2013)
Enax, J.; Prymak, O.; Fabritius, H.-O.; Raabe, D.; Epple, M.: Korrelation von Strukturhierarchie, chemischer Zusammensetzung und mechanischen Eigenschaften von Haizähnen. Jahrestagung der Deutschen Gesellschaft für Biomaterialien, Hamburg, 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
The full potential of energy materials can only be exploited if the interplay between mechanics and chemistry at the interfaces is well known. This leads to more sustainable and efficient energy solutions.