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)
Zhang, S.: Electron Microscopy. DGK-AK20 Summer School “Synthesis and characterization of inorganic functional materials”, Mülheim (Ruhr), Germany (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)
Zhang, S.; Diehl, L.; Lotsch, B. V.; Scheu, C.: Photocatalysts, cocatalysts, and a case study on their structural design. 1st International Meeting on Alternative & Green Energies, Mohammedia, Morocco (2018)
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.