Beese-Vasbender, P. F.: From Microbially Induced Corrosion to Bioelectrical Energy Conversion - Electrochemical Characterization of Sulfate-Reducing Bacteria and Methanogenic Archaea. Dissertation, Fakultät für Chemie und Biochemie der Ruhr-Universität Bochum, Bochum, Germany (2014)
Schuppert, A. K.: Combinatorial screening of fuel cell catalysts for the oxygen reduction reaction. Dissertation, Fakultät für Chemie und Biochemie, Ruhr-Universität Bochum, Bochum, Germany (2014)
Meier, J. C.: Degradation phenomena and design principles for stable and active Pt/C fuel cell catalysts. Dissertation, Fakultät für Chemie und Biochemie, Ruhr-Universität Bochum, Bochum, Germany (2013)
Rabe, M.; Kasian, O.; Mayrhofer, K. J. J.; Erbe, A.: Schlussbericht zum Vorhaben: Mechanistische Untersuchungen der elektrochemischen Sauerstoffentwicklung auf Modellelektroden - Stabilität der Elektroden, Natur der Oxide und Intermediate - Teilvorhaben des Clusterprojekts "Mangan". Technische Informationsbibliothek (TIB) Hannover, Hannover, Germany (2019), 32 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
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…