Palanisamy, D.; Raabe, D.; Gault, B.: Elemental segregation to twin boundaries in a MnAl ferromagnetic Heusler alloy. Scripta Materialia 155, pp. 144 - 148 (2018)
Wang, D.; Diehl, M.; Roters, F.; Raabe, D.: On the role of the collinear dislocation interaction in deformation patterning and laminate formation in single crystal plasticity. Mechanics of Materials 125, pp. 70 - 79 (2018)
Zhao, H.; Gault, B.; Ponge, D.; Raabe, D.; De Geuser, F.: Parameter free quantitative analysis of atom probe data by correlation functions: Application to the precipitation in Al–Zn–Mg–Cu. Scripta Materialia 154, pp. 106 - 110 (2018)
Lai, M.; Li, Y.; Lillpopp, L.; Ponge, D.; Will, S.; Raabe, D.: On the origin of the improvement of shape memory effect by precipitating VC in Fe–Mn–Si-based shape memory alloys. Acta Materialia 155, pp. 222 - 235 (2018)
Fan, H.; Zhu, Y.; El-Awady, J. A.; Raabe, D.: Precipitation hardening effects on extension twinning in magnesium alloys. International Journal of Plasticity 106, pp. 186 - 202 (2018)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
In this project, we employ atomistic computer simulations to study grain boundaries. Primarily, molecular dynamics simulations are used to explore their energetics and mobility in Cu- and Al-based systems in close collaboration with experimental works in the GB-CORRELATE project.
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.
In this project, we aim to design novel NiCoCr-based medium entropy alloys (MEAs) and further enhance their mechanical properties by tuning the multiscale heterogeneous composite structures. This is being achieved by alloying of varying elements in the NiCoCr matrix and appropriate thermal-mechanical processing.