Malyar, N.; Dehm, G.; Kirchlechner, C.: Strain rate dependence of the slip transfer through a penetrable high angle grain boundary in copper. Scripta Materialia 138, pp. 88 - 91 (2017)
Jörg, T.; Cordill, M. J.; Franz, R.; Kirchlechner, C.; Többens, D. M.; Winkler, J.; Mitterer, C.: Thickness dependence of the electro-mechanical response of sputter deposited Mo thin films on polyimide: Insights from in situ synchrotron diffraction tensile tests. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 697, pp. 17 - 23 (2017)
Malyar, N.; Micha, J.-S.; Dehm, G.; Kirchlechner, C.: Dislocation-twin boundary interaction in small scale Cu bi-crystals loaded in different crystallographic directions. Acta Materialia 129, pp. 91 - 97 (2017)
Peter, N. J.; Liebscher, C.; Kirchlechner, C.; Dehm, G.: Beam-induced atomic migration at Ag-containing nanofacets at an asymmetric Cu grain boundary. Journal of Materials Research 32 (5), pp. 968 - 982 (2017)
Brinckmann, S.; Kirchlechner, C.; Dehm, G.: Stress intensity factor dependence on anisotropy and geometry during micro-fracture experiments. Scripta Materialia 127, pp. 76 - 78 (2017)
Davydok, A.; Jaya, B. N.; Robach, O.; Ulrich, O.; Micha, J.-S.; Kirchlechner, C.: Analysis of the full stress tensor in a micropillar: Ability of and difficulties arising during synchrotron based μLaue diffraction. Materials and Design 108, pp. 68 - 75 (2016)
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].