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
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.