Rabe, M.; Baumgartner, L.-M.; Boyle, A. L.; Erbe, A.: Controlled amphipathic peptide adsorption by smart, electro-responsive germanium interfaces. European Conference on Organized Films (ECOF17), Cordoba, Spain (2022)
Rabe, M.; Baumgartner, L.-M.; Boyle, A. L.; Erbe, A.: Designing smart interfaces based on electro-responsive self-assembled monolayers from coiled-coil peptides. Bunsentagung 2019 - 118th General Assembly of the German Bunsen Society for Physical Chemistry, Jena, Germany (2019)
Rabe, M.; Baumgartner, L.-M.; Boyle, A. L.; Erbe, A.: Employing electro-responsive germanium interfaces to control amphipathic peptide adsorption – an in situ ATR IR study. 6th International Symposium on Surface Imaging/Spectroscopy at the Solid/Liquid Interface, Krakow, Poland (2021)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
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.