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)
International research team shows how hydrogen affects Nickel-base superalloys at elevated temperatures. Latest results published in journal Nature Materials.
Max Planck team explains dendrite propagation, paving the way for safer and longer-lasting next-generation batteries. They publish their findings in the journal Nature.
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
This project is a joint project of the De Magnete group and the Atom Probe Tomography group, and was initiated by MPIE’s participation in the CRC TR 270 HOMMAGE. We also benefit from additional collaborations with the “Machine-learning based data extraction from APT” project and the Defect Chemistry and Spectroscopy group.