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.
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
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…