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)
Rohwerder, M.; Stratmann, M.: The effect of Oxygen Reduction on the Self-Assembly and Stability of Thiol Monolayer Films. 205th Meeting of the ECS, San Antonio, TX, USA (2004)
Frenznick, S.; Stratmann, M.; Rohwerder, M.: Galvanizing of Defined Model Samples: On the Road to a Fundamental Physical Understanding of Hot-Dip Galvanizing. GALVATECH, Chicago, USA (2004)
Rohwerder, M.; Hausbrand, R.; Stratmann, M.: Development of Zinc-Alloy Coatings with Inherent Delamination Stability for Organic Coatings. Galvatech '04, Chicago, IL, USA (2004)
Stratmann, M.; Hausbrand, R.; Rohwerder, M.; Wapner, C.; Grundmeier, G.: Surface Modification of Iron based Alloys for Improved Corrosion Resistance and Adhesion. 13th Asian Pacific Corrosion Control Conference, Corrosion Symposium in NIMS, Tsukuba, Japan (2003)
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
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.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…
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.