Spies, M.: Influence of growth conditions on the opto-electronic properties, microstructure and chemistry of Cu2ZnSnSe4 thin-films. Master, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany (2014)
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
This project targets to exploit or develop new methodologies to not only visualize the 3D morphology but also measure chemical distribution of as-synthesized nanostructures using atom probe tomography.