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)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.