Lill, K. A.: Electrochemical Investigations on the Corrosion Properties of New Classes of Light Weight Steels. Dissertation, Ruhr-Universität-Bochum, Bochum, Germany (2008)
EMNT2008: The 7th International Symposium on Electrochemical Micro- & Nano-system Technology (Special issue). Electrochimica Acta 54, (25) (2009), 5966-5968 pp.
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
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.