Krieg, R.; Vimalanandan, A.; Rohwerder, M.: Corrosion of Zinc and Zn–Mg Alloys with Varying Microstructures and Magnesium Contents. Journal of the Electrochemical Society 161 (3), pp. C156 - C161 (2014)
Krieg, R.; Vimalanandan, A.; Rohwerder, M.; Theirry, D.; Le Bozec, N.: Corrosion Performance of Zinc Magnesium Aluminium Coated steel: Discussion of fundamental mechanisms. 224th ECS Meeting, San Francisco, CA, USA (2013)
Palm, M.; Krieg, R.: Neutral salt spray tests on Fe−Al and Fe−Al−X. FeAl2011, Discussion Meeting on the Development of Innovative Iron Aluminium Alloys, Lanzarote, Canary Islands, Spain (2011)
Krieg, R.: Untersuchungen zur Inhibition der Sauerstoffreduktion durch Zink-basierende Korrosionsproduktschichten. Dissertation, Fakultät für Chemie und Biochemie, Ruhr-Universität Bochum, Bochum, Germany (2013)
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
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
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…
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.