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Kawano, T.; Renner, F. U.: Tailoring Model Surface and Wetting Experiment for a Fundamental Understanding of Hot-dip Galvanizing. ISIJ International 51, 10, pp. 1703 - 1709 (2011)
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Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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.