Kawano, T.; Renner, F. U.: Studies on Wetting Behaviour of Hot-dip Galvanizing Process by use of Model Specimens with Tailored Surface Oxides. Surf. Int. Anal. 44 (8), pp. 1009 - 1012 (2012)
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)
Kawano, T.; Renner, F. U.: Tailoring Model Surfaces and Wettability Measurement for a Fundamental Understanding of Hot-dip Galvanizing. DPG Meeting, Regensburg, Germany (2010)
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
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.