Zhang, S.: Electron microscopy: Resolution and imaging contrast. DMG/DGK-AK9 Summer School “Advanced methods for the characterization of applied materials”, MPI-Kohlenforschung, Mülheim (Ruhr), Germany (2023)
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)
Zhang, S.: Microstructure design in thermoelectric materials: in situ observation of doping behavior and role of grain boundary phases. Colloqium, Ruhr-Universität Bochum, Bochum, Germany (2023)
Zhang, S.: Microstructure design in thermoelectric materials: Decoupling the transport properties and in situ observation at operation conditions. Colloqium, TU Darmstadt, Darmstadt, Germany (2023)
Scheu, C.; Zhang, S.: Hematite for light induced water splitting – improving efficiency by tuning distribution of Sn dopants at the atomic scale. Karlsruher Werkstoffkolloquium_Digital (2021)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
This work led so far to several high impact publications: for the first time nanobeam diffraction (NBD) orientation mapping was used on atom probe tips, thereby enabling the high throughput characterization of grain boundary segregation as well as the crystallographic identification of phases.
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.