Scheu, C.: Structural and functional properties of Nb3O7(OH) nanoarrays and their modification via doping and thermal annealing. Talk at Institut für Werkstofftechnik, Technische Universität Ilmenau, Ilmenau, Gemany (2017)
Scheu, C.: Interface structure of Kappa-Carbides in high Mn Steels. 3 Phase, Interface, Component Systems (PICS), Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), Marseille, France (2017)
Raabe, D.; Gault, B.; Yao, M.; Scheu, C.; Liebscher, C.; Herbig, M.: Correlated and simulated electron microscopy and atom probe tomography. Workshop on Possibilities and Limitations of Quantitative Materials Modeling and Characterization 2017, Bernkastel, Germany (2017)
Scheu, C.: Grain growth and dewetting of thin Al films on (0001) Al2O3 substrates. 3 Phase, Interface, Component Systems (PICS), Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), Marseille, France (accepted)
Scheu, C.: In-situ Transmission Electron Microscopy Observation of Heat-Induced Structural Changes of 3D Nb3O(OH) Networks. Electronic Materials and Applications 2017 (EMA), Orlando, FL, USA (2017)
Scheu, C.: Insights into structural and functional properties of Nb3O7(OH) and TiO2 nanoarrays. European Materials Research Society’s (EMRS) Fall Meeting, Warsaw, Poland (2016)
Scheu, C.: Transmission electron microscopy – a versatile tool to study the microstructure of HT-PEMFC. Materials Science 2016, Atlanta, GA, USA (2016)
Scheu, C.: Insights into structural and functional properties of nano-structured electrodes for energy and fuel generating devices. Talk at Helmholtz‐Zentrum Geesthacht, Geesthacht, Germany (2016)
Scheu, C.: Correlative STEM & Atom Probe Tomography (ATP): Insights in the k-carbide/austenite interface. Workshop on “New trends in electron microscopy”, Ringberg Castle, Kreuth am Tegernsee, Germany (2016)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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
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.
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…