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.
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
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.
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.