Grundmeier, G.; Fink, N.; Giza, M.; Popova, V.; Vlasak, R.; Wapner, K.: Application of combined spectroscopic, electrochemical and microscopic techniques for the understanding of adhesion and de-adhesion at polymer/metal interfaces. 24. Spektrometertagung, Dortmund, Germany (2005)
Ifeacho, V.: Application of the Chemical Force Microscopy for Analysis of the Molecular Adhesion on α-Al2O3(0001) Interfaces in Aqueous Electrolytes. Dissertation, Universität Paderborn, Paderborn, Germany (2010)
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