Sandlöbes, S.; Korte-Kerzel, S.; Raabe, D.: On the influence of the heat treatment on microstructure formation and mechanical properties of near-alpha Ti–Fe alloys. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 748, pp. 301 - 312 (2019)
Dutta, A.; Ponge, D.; Sandlöbes, S.; Raabe, D.: Strain partitioning and strain localization in medium manganese steels measured by in situ microscopic digital image correlation. Materialia 5, 100252 (2019)
Kontis, P.; Kostka, A.; Raabe, D.; Gault, B.: Influence of composition and precipitation evolution on damage at grain boundaries in a crept polycrystalline Ni-based superalloy. Acta Materialia 166, pp. 158 - 167 (2019)
Lu, X.; Zhang, X.; Shi, M.; Roters, F.; Kang, G.; Raabe, D.: Dislocation mechanism based size-dependent crystal plasticity modeling and simulation of gradient nano-grained copper. International Journal of Plasticity 113, pp. 52 - 73 (2019)
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)
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
Developing and providing accurate simulation techniques to explore and predict structural properties and chemical reactions at electrified surfaces and interfaces is critical to surmount materials-related challenges in the context of sustainability, energy conversion and storage. The groups of C. Freysoldt, M. Todorova and S. Wippermann develop…