Mukherjee, T.; Breitbach, B.; Meneghetti, M.; Rabe, M.: Raman hydration shell spectroscopy can be applied to study solvation shells of nanomaterials. 17th International conference on materials chemistry (MC17), Edinburgh, Scotland, UK (2025)
Mukherjee, T.; Rabe, M.: Solvation Shell Water around Citrate-stabilised Gold Nanoparticle. Bunsen-Tagung 2024 - 123rd Annual Conference of the German Bunsen Society for Physical Chemistry
, Aachen, Germany (2024)
Mehrmann, C.; Johny, J.; Ebbinghaus, P.; Das, A.; Tesch, M. F.; Rabe, M.: Nanostructure of Metal Nanoparticle Covered Supported Ionic Liquids Studied by Nano-IR Spectroscopy. European meeting on InfraRed Nanospectro-Imaging. European meeting on InfraRed Nanospectro-Imaging, Orsay, France (2024)
Mehrmann, C.; Johny, J.; Ebbinghaus, P.; Das, A.; Tesch, M. F.; Rabe, M.: Nanostructure of Metal Nanoparticle Covered Supported Ionic Liquids Studied by Nano-IR Spectroscopy. European meeting on InfraRed Nanospectro-Imaging. European Conference on Organized Films (ECOF18), Évora, Portugal (2024)
Aymerich Armengol, R.; Cignoni, P.; Ebbinghaus, P.; Linnemann, J.; Rabe, M.; Tschulik, K.; Scheu, C.; Lim, J.: Electron microscopy insights on the mechanism of morphology/phase transformations in manganese oxides. Institut de Nanociència i Nanotecnologia (ICN2), Bellaterra, Spain (2022)
Aymerich Armengol, R.; Cignoni, P.; Ebbinghaus, P.; Rabe, M.; Tschulik, K.; Scheu, C.; Lim, J.: Mechanism of coupled phase/morphology transformation of 2D manganese oxides through Fe galvanic exchange reaction. Chemistry Department Seminar, Kangwon National University, Chuncheon, South Korea (2022)
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)
Uebel, M.; Rabe, M.; Rohwerder, M.: The Influence of Microstructure on Zn–Al–Mg Alloy Reactivity: A SKP-based Approach. Scientific Advisory Board Meeting 2019, 6-years Evaluation of the Max-Planck-Institut für Eisenforschung GmbH – Scientific Highlights Session, Düsseldorf, Germany (2019)
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)
Ebbinghaus, P.; Rabe, M.; Erbe, A.: Time-dependent Water Uptake in s Polymer Model Coating Visualised by FTIR Microscopy Using a Focal Plane Array Detector. Fourier Transform Spectroscopy 2016, Leipzig, Germany (2016)
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)
Uebel, M.; Exbrayat, L.; Rabe, M.; Tran, T. H.; Crespy, D.; Rohwerder, M.: Role of Trigger Signal Spreading Velocity on Self-healing Capability of Intelligent Coatings for Corrosion Protection. Scientific Advisory Board Meeting 2019, 6-years Evaluation of the Max-Planck-Institut für Eisenforschung GmbH, Düsseldorf, Germany (2019)
Rabe, M.; Rechmann, J.; Boyle, A. L.; Erbe, A.: Designing Electro Responsive Self-Assembled Monolayers Based on the Coiled-Coil Peptide Binding Motif. 17th International Conference on Organized Molecular Films” (ICOMF17), New York, NY, USA (2018)
Rabe, M.; Sarfraz, A.; Erbe, A.: Monitoring Oxide Layer Growth on Manganese Electrodes, by in situ Spectroscopic Ellipsometry and Raman Spectroscopy. 67th Annual Meeting of the ISE, Den Haag, The Netherlands (2016)
Rabe, M.; Kasian, O.; Mayrhofer, K. J. J.; Erbe, A.: Schlussbericht zum Vorhaben: Mechanistische Untersuchungen der elektrochemischen Sauerstoffentwicklung auf Modellelektroden - Stabilität der Elektroden, Natur der Oxide und Intermediate - Teilvorhaben des Clusterprojekts "Mangan". Technische Informationsbibliothek (TIB) Hannover, Hannover, Germany (2019), 32 pp.
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.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
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.