Stempniewicz, M.; Rohwerder, M.; Marlow, F.: Release of guest molecules from modified mesoporous silica. 5th International Mesostructured Materials Symposium, Shanghai, China (2006)
Michalik, A.; Paliwoda-Porebska, G.; Rohwerder, M.: Mechanism of corrosion protection by conducting polymers. 57th Annual Meeting of the International Society of Electrochemistry, Edinburgh, UK (2006)
Laaboudi, A.; Rohwerder, M.: Oxygen Reduction on Thiol SAM Modified Au(111). 209th Meeting of The Electrochemical Society, Denver, Colorado, USA (2006)
Rohwerder, M.; Stratmann, M.: Delamination of Polymer/metal Interfaces: On the Role of Electron Transfer Reactions at the Buried Interface. 209th Meeting of The Electrochemical Society, Denver, CO, USA (2006)
Rohwerder, M.: On the role of passive oxides at buried polymer/metal interfaces. The 9th International Symposium on the Passivation of Metals and Semiconductors, and the Properties of Thin Oxide Layers, Paris, France (2005)
Stempniewicz, M.; Rohwerder, M.; Marlow, F.: Release of dye molecules from mesostructured microparticles. 104th Bunsentagung, Frankfurt a. M., Germany (2005)
Rohwerder, M.: Delamination von polymeren Beschichtungen: Offene Fragen und neue Ansätze. 1. Korrosionsschutz-Symposium: Korrosionsschutz durch Beschichtungen in Theorie und Praxis, Schlosshotel Villa Rheinfels, St. Goar, Germany (2005)
Ehahoun, H.; Stratmann, M.; Rohwerder, M.: Kinetics of O2-reduction at model interfaces investigated with a scanning Kelvin Probe using an O2-insensitive Ag/AgCl/KCl – tip. ISE Annual Meeting, Thessaloniki, Greece (2004)
Rohwerder, M.; Hausbrand, R.; Stratmann, M.: The role of the electrode potential at the buried polymer/metal interface on electrochemically driven delamination: The case MgZn2. ISE Annual Meeting, Thessaloniki, Greece (2004)
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.