Haley, D.; Merzlikin, S. V.; Choi, P.-P.; Raabe, D.: Atom probe tomography observation of hydrogen in high-Mn steel and silver charged via an electrolytic route. International Journal of Hydrogen Energy 39 (23), pp. 12221 - 12229 (2014)
Gutiérrez-Urrutia, I.; Raabe, D.: High strength and ductile low density austenitic FeMnAlC steels: Simplex and alloys strengthened by nanoscale ordered carbides. Materials Science and Technology 30 (9), pp. 1099 - 1104 (2014)
Mandal, S.; Pradeep, K. G.; Zaefferer, S.; Raabe, D.: A novel approach to measure grain boundary segregation in bulk polycrystalline materials in dependence of the boundaries’ five rotational degrees of freedom. Scripta Materialia 81, pp. 16 - 19 (2014)
Reuber, J. C.; Eisenlohr, P.; Roters, F.; Raabe, D.: Dislocation density distribution around an indent in single-crystalline nickel: Comparing nonlocal crystal plasticity finite-element predictions with experiments. Acta Materialia 71, pp. 333 - 348 (2014)
Pierce, D. T.; Jiménez, J. A.; Bentley, J.; Raabe, D.: The influence of manganese content on the stacking fault and austenite/epsilon-martensite interfacial energies in Fe–Mn–(Al–Si) steels investigated by experiment and theory. Acta Materialia 68, pp. 238 - 253 (2014)
Pradeep, K. G.; Herzer, G.; Choi, P.; Raabe, D.: Atom probe tomography study of ultrahigh nanocrystallization rates in FeSiNbBCu soft magnetic amorphous alloys on rapid annealing. Acta Materialia 68, pp. 295 - 309 (2014)
He, D.; Zhu, J.; Zaefferer, S.; Raabe, D.: Effect of retained beta layer on slip transmission in Ti–6Al–2Zr–1Mo–1V near alpha titanium alloy during tensile deformation at room temperature. Materials and Design 56, pp. 937 - 942 (2014)
Zhu, M.; Sun, D.; Pan, S.; Zhang, Q.; Raabe, D.: Modelling of dendritic growth during alloy solidification under natural convection. Modelling and Simulation in Materials Science and Engineering 22 (3), 034006 (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
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science