Klemm, S. O.; Karschin, A.; Mechler, A. K.; Topalov, A. A.; Katsounaros, I.; Mayrhofer, K. J. J.: Corrigendum to “Time and potential resolved dissolution analysis of rhodium using a microelectrochemical flow cell coupled to an ICP-MS” [Journal of Electroanalytical Chemistry 677–680 (2012) 50–55] (S1572665712001865) (10.1016/j.jelechem.2012.05.006)). Journal of Electroanalytical Chemistry 693, p. 127 (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