Scheu, C.: Unlocking the Stability of Ceramics in (Photo)Electro-Chemical Application and the Role of Defects. Gordon Research Conference on Solid State Studies in Ceramics at the Mount Holyoke College, South Hadley, MA, USA (2024)
Zhang, S.; Yu, Y.; Jung, C.; Mattlat, D. A.; Abdellaoui, L.; Scheu, C.: In situ STEM observation of thermoelectric materials under heating and biasing conditions. The 6th joint Sino-German workshop on advanced & correlative electron microscopy of catalysts, quantum phenomena & soft matter, Bad Honnef, Germany (2024)
Scheu, C.: Insight in defects of energy materials: Aberration corrected STEM imaging coupled with 3D atom probe tomography. Colloquium Ludwig-Maximilians-Universität, München, Germany (2024)
Zhang, S.; Yu, Y.; Jung, C.; Wang, Z.; Mattlat, D. A.; Abdellaoui, L.; Scheu, C.: In situ microstructural observation and electrical transport measurements of PbTe thermoelectrics by transmission electron microscopy. International Conference on Thermoelectrics ICT, Krakow, Poland (2024)
Scheu, C.: Electron Energy-Loss Spectroscopy in a Scanning Transmission Electron Microscope: A versatile tool to study bonding characteristics in materials. Atom Probe Tomography: A local probe of chemical bonds in solids?, Aachen, Germany (2024)
Scheu, C.; Zhang, S.: Hematite for light induced water splitting – improving efficiency by tuning distribution of Sn dopants at the atomic scale. The International Symposium on Advanced Coatings for Energy – ISC4E 2023, Ben Guerir, Morocco (2023)
Vega-Paredes, M.; Aymerich Armengol, R.; Scheu, C.: Determining the degradation mechanisms and active species of electrocatalysts by identical location electron microscopy. NRF-DFG meeting “Electrodes for direct sea-water splitting and microstructure based stability analyses”, Korean Institute for Energy Research, Jeju, South Korea (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)
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)
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
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.