Schäffer, A. K.; Jäpel, T.; Zaefferer, S.; Abart, R.; Rhede, D.: Lattice strain across Na–K interdiffusion fronts in alkali feldspar: An electron back-scatter diffraction study. Physics and Chemistry of Minerals 41 (10), pp. 795 - 804 (2014)
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