Rusitzka, A. K.; Stephenson, L.; Gremer, L.; Raabe, D.; Willbold, D.; Gault, B.: Getting insights to Alzheimer‘s disease by atom probe tomography. 6th International caesar conference, Overcoming Barriers — atomic-resolution and beyond: advances in molecular electron microscopy, Bonn, Germany (2017)
Diehl, M.; Kühbach, M.; Broß, C.; Raabe, D.: Experimental-Numerical Analysis of Primary Recrystallization in DC04 Low Carbon Steel. Gordon Research Conference on Physical Metallurgy: Frontiers of Quantification and Predictive Capability in Physical Metallurgy, University of New England, Biddeford, ME, USA (2017)
Kwiatkowski da Silva, A.; Ponge, D.; Inden, G.; Gault, B.; Raabe, D.: Physical Metallurgy of segregation, austenite reversion, carbide precipitation and related phenomena in medium Mn steels. Gordon Research Conference: Physical Metallurgy, Biddeford, ME, USA (2017)
Broß, C.; Diehl, M.; Raabe, D.: Quasi In-Situ Untersuchung der statischen Rekristallisation in DC04 Stahl. Fachtagung für Mikroskopie und Präparation MikPräp 2017, Solingen, Germany (2017)
Zhang, J.; Raabe, D.; Lai, M.; Yan, D.; Tasan, C. C.: Site-preferential recrystallization and nano-precipitation to achieve improved mechanical properties. MRS Fall Meeting 2016, Boston, MA, USA (2016)
Haghighat, S. M. H.; Reed, R. C.; Raabe, D.: Modeling of dislocation mechanisms and the influence of the γ/γ´lattice misfit on the dislocation assisted creep of high temperature Ni-base superalloys. 7th International Conference on Multiscale Materials Modeling , Berkeley, CA, USA (2014)
Belde, M. M.; Springer, H.; Inden, G.; Raabe, D.: Tailoring multi-phase steel microstructures by controlling local chemical gradients. MSE 2014, Darmstadt, Germany (2014)
Neddermann, P.; Ponge, D.; Raabe, D.: Influence of Chromium on the Low Temperature Austenite Reversion through Local Equilibrium in Martensitic Stainless Steel. MSE 2014, Darmstadt, Germany (2014)
Nellessen, J.; Sandlöbes, S.; Raabe, D.: Systematic Investigation of the Influence of Strain Amplitude, Orientation and Cycle Number on the Dislocation Structures Formed during Low Cycle Fatigue. MSE 2014, Darmstadt, Germany (2014)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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