Scheu, C.: Atomic-scale characterization of complex solid solution nanoparticles using TEM. Workshop on High Entropy Alloy and Complex Solid Solution Nanoparticles for Electrocatalysis, RUB, online, Bochum, Germany (2020)
Scheu, C.: Co-organizer of the International Seminar Series on the Microstructure of Materials (on-line). International Seminar Series on the Microstructure of Materials, online (2020)
Scheu, C.; Hieke, S. W.: How stable are thin Aluminium films: Dewetting phenomena observed by in-situ electron microscopy. Microscopy Conference 2019 (MC2019), Berlin, Germany (2019)
Scheu, C.; Hieke, S. W.: Fundamentals and Applications of Electron Energy-Loss Spectroscopy in a Scanning Transmission Electron Microscope. Universita' Roma Tre Colloquium, Roma, Italy (2019)
Scheu, C.: Materials for renewable energy applications. Metallurgical Engineering and Materials Science Department Colloquium, Indian Institute of Technology, Mumbai, India (2019)
Frank, A.; Changizi, R.; Scheu, C.: Preparative and analytical challenges in electron microscopic investigation of nanostructured CuInS2 thin films for energy applications. Microscience Microscopy Congress (MMC) 2019, Manchester, UK (2019)
Gänsler, T.; Frank, A.; Betzler, S. B.; Scheu, C.: Electron microscopy studies of Nb3O7(OH) nanostructured cubes - insights in the growth mechanism. Microscience Microscopy Congress MMC2019, Manchester, UK (2019)
Scheu, C.; Folger, A.: Annealing treatment in various atmospheres: A tool to control structure and properties of TiO2 nanowires. 6th International Symposium on Metastable, Amorphous and Nanostructured Materials (ISMANAM-2019), Chennai, India (2019)
Scheu, C.; Zhang, S.: Effect of interfaces on the photoelectrochemical performance of functional oxides. PICS3 2019 Meeting, Centre Interdisciplinaire de Nanoscience de Marseille, Marseille, France (2019)
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
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.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…