Dehm, G.: Mechanische Eigenschaften in kleinen Dimensionen. Lecture: Vorlesung (3LP), SS 2015, Ruhr-Universität Bochum, Bochum, Germany, May 18, 2015 - May 22, 2015
Dehm, G.: Mechanische Eigenschaften in kleinen Dimensionen. Lecture: Vorlesung: Mechanische Eigenschaften in kleinen Dimensionen (2SWS), Ruhr-Universität Bochum, Germany, May 06, 2014 - May 14, 2014
Dehm, G.: Mechanische Eigenschaften in kleinen Dimensionen. Lecture: Vorlesung, SS 2013, Ruhr-Universität Bochum, Bochum, Germany, May 06, 2013 - June 24, 2013
Brognara, A.: Design of ZrCu thin film metallic glasses with tailored mechanical properties through control of composition and nanostructure. Dissertation, RUB Bochum, Bochum, Germany (2025)
Hosseinabadi, R.: Dislocation transmission through coherent and incoherent twin boundaries in copper at the micron scale. Dissertation, Ruhr University Bochum (2024)
Patil, P.: Influence of plastic anisotropy on the deformation behaviour of Austenitic stainless-steel during single micro-asperity wear. Dissertation, Ruhr-Uiversität-Bochum (2023)
Rao, J.: Hydrogen effects on the mechanical behaviour of FeCr alloys investigated by in-situ nanoindentation. Dissertation, Ruhr-Universität Bochum (2023)
Jentner, R.: Phase identification and micromechanical characterization of an advanced high-strength low-alloy steel. Dissertation, Ruhr-Universität Bochum (2023)
Ahmad, S.: Fundamental investigation of the atomic structures of [111] tilt grain boundaries, their defects and segregation behaviour in pure and alloyed Al. Dissertation, Ruhr-Universität Bochum (2023)
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.