Rauch, E.; Harrison, P.; Zhou, X.; Herbig, M.; Ludwig, W.; Veron, M.: Correction: Rauch et al. New Features in Crystal Orientation and Phase Mapping for Transmission Electron Microscopy. Symmetry 2021, 13, 1675. Symmetry 13 (12), 2339 (2021)
Rauch, E.; Harrison, P.; Zhou, X.; Herbig, M.; Ludwig, W.; Véron, M.: New Features in Crystal Orientation and Phase Mapping for Transmission Electron Microscopy. Symmetry 13 (9), 1675 (2021)
Zhou, X.; Hickel, T.; Gault, B.; Ophus, C.; Liebscher, C.; Dehm, G.; Raabe, D.: Exploring the Relationship Between Grain Boundary Structure and Chemical Composition at the Atomic Level. International Conference on Intergranular and Interphase Boundaries in Materials (IIB 2024), Beijing, China (2024)
Zhou, X.; Wei, S.; Raabe, D.: Segregation-Driven Mechanics of White Gold at the Nanoscale: A Cursing or Blessing? Schöntal Symposium on Dislocation-based Plasticity 2024, Kloster Schöntal, Germany (2024)
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…