Zhang, S.; Kim, S.-H.; Mingers, A. M.; Gault, B.; Scheu, C.: Operando Study on the activation of hydrogen evolution electrocatalysts. NRF-DFG meeting “Electrodes for direct sea-water splitting and microstructure based stability analyses”, Korean Institute for Energy Research, Daejeon, South Korea (2023)
Jung, C.; Jang, K.; Zhang, S.; Bueno Villoro, R.; Choi, P.-P.; Scheu, C.: Sb-doping induced order to disorder transition enhances the thermal stability of NbCoSn1-xSbx half-Heusler semiconductors. The 20th International Microscopy Congress, PS-07.2. Microscopy of Semiconductor Materials and Devices, Busan, Republic of Korea (2023)
Zhang, S.; Yu, Y.; Jung, C.; Abdellaoui, L.; Scheu, C.: In situ TEM unveils dynamic doping behavior of thermoelectric materials – Microstructure and property evolution under heating and electric biasing. International Microscopy Conference IMC20, Busan, Korea (2023)
Zhang, S.; Kim, S.-H.; Mingers, A. M.; Gault, B.; Scheu, C.: Operando Study on the corrosion of photo-electrocatalysts. NRF-DFG meeting “Electrodes for direct sea-water splitting and microstructure based stability analyses”, Kangwon National University, Chuncheon-si, South Korea (2023)
Scheu, C.: Chemistry induced phase transition at Σ7 grain boundary in Mg. Workshop on New Horizons in Materials Design, MPIE, Düsseldorf, Germany (2023)
Scheu, C.: Designing the functional properties of thermoelectric materials by grain boundary engineering. Workshop on New Horizons in Materials Design, MPIE, Düsseldorf, Germany (2023)
Vega-Paredes, M.; Arenas Esteban, D.; Garzón-Manjón, A.; Scheu, C.: How can electron tomography be used for studying the catalyst degradation of fuel cells. Advanced Electron Nanoscopy Group – Institut Catala de Nanociencia I Nanotecnologia, Bellaterra, Spain (2022)
Aymerich Armengol, R.; Cignoni, P.; Ebbinghaus, P.; Linnemann, J.; Rabe, M.; Tschulik, K.; Scheu, C.; Lim, J.: Electron microscopy insights on the mechanism of morphology/phase transformations in manganese oxides. Institut de Nanociència i Nanotecnologia (ICN2), Bellaterra, Spain (2022)
Scheu, C.: Unravelling secrets of interfaces in renewable energy application. 10th International Workshop on Interfaces, Santiago de Compostela, Spain (2022)
Aymerich Armengol, R.; Cignoni, P.; Ebbinghaus, P.; Rabe, M.; Tschulik, K.; Scheu, C.; Lim, J.: Mechanism of coupled phase/morphology transformation of 2D manganese oxides through Fe galvanic exchange reaction. Chemistry Department Seminar, Kangwon National University, Chuncheon, South Korea (2022)
Scheu, C.: Insight in the structure and stability of (photo)catalysts. Graduiertenkollegs GRK1896 „In situ microsopy with electrons, X-rays and scanning probes: Abschlusssymposium, Erlangen, Germany (2022)
Scheu, C.: Tracing impurities and structural defects in energy materials using advanced scanning transmission electron microscopy and atom probe tomography. Retreat Lotsch Group, Schloss Fürstenried, München, Germany (2022)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
“Smaller is stronger” is well known in micromechanics, but the properties far from the quasi-static regime and the nominal temperatures remain unexplored. This research will bridge this gap on how materials behave under the extreme conditions of strain rate and temperature, to enhance fundamental understanding of their deformation mechanisms. The…
The precipitation of intermetallic phases from a supersaturated Co(Nb) solid solution is studied in a cooperation with the Hokkaido University of Science, Sapporo.
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.