Kim, J.-K.; Guo, W.; Choi, P.-P.; Raabe, D.: Compositional evolution of long-period stacking ordered structures in magnesium studied by atom probe tomography. Scripta Materialia 156, pp. 55 - 59 (2018)
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)
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 ongoing project, we investigate spinodal fluctuations at crystal defects such as grain boundaries and dislocations in Fe-Mn alloys using atom probe tomography, electron microscopy and thermodynamic modeling [1,2].