Laska, C. A.; Rossrucker, L.; Klemm, S. O.; Pust, S. E.; Hüpkes, J.; Mayrhofer, K. J. J.: Die Kopplung von Elektrochemie mit zeitaufgelöster Elementanalytik am Beispiel der chemischen und elektrochemischen Oberflächentexturierung von ZnO-Dünnschichten. In: Tagungsband zur Jahrestagung der Gesellschaft für Korrosionsschutz e.V. 2013, pp. 118 - 128. Jahrestagung der Gesellschaft für Korrosionsschutz e.V. , Frankfurt am Main, Germany, November 12, 2013 - November 13, 2013. (2013)
Rossrucker, L.; Schulz, J.; Krebs, S.; Mayrhofer, K. J. J.: A microelectrochemical flow cell coupled to ICP-MS for corrosion investigation of zinc alloys. Gordon Research Seminar on Corrosion – Aqueous, New London, NH, USA (2014)
Rossrucker, L.; Schulz, J.; Krebs, S.; Mayrhofer, K. J. J.: A microelectrochemical flow cell coupled to ICP-MS for corrosion investigation of zinc alloys. Gordon Research Seminar on Corrosion – Aqueous, New London, NH, USA (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
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.