Fabritius, H.-O.; Hennig, S.; Hild, S.; Soor, C.; Ziegler, A. S.: Influence of Near-Physiological Salines and Organic Matrix Proteins from Sternal ACC-Deposits of Porcellio scaber on CaCO3 Precipitation. 12th International Symposium on Biomineralization, Freiberg, Germany (2013)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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