Schalenbach, M.; Kasian, O.; Mayrhofer, K. J. J.: An alkaline water electrolyzer with nickel electrodes enables efficient high current density operation. International Journal of Hydrogen Energy 43 (27), pp. 11932 - 11938 (2018)
Schalenbach, M.; Lüke, W.; Stolten, D.: Hydrogen diffusivity and electrolyte permeability of the Zirfon PERL separator for alkaline water electrolysis. Journal of the Electrochemical Society 163 (14), pp. F1480 - F1488 (2016)
Ledendecker, M.; Mondschein, J. S.; Žeradjanin, A. R.; Cherevko, S.; Geiger, S.; Schalenbach, M.; Schaak, R. E.; Mayrhofer, K. J. J.: Stability of binary metallic ceramics in the HER reaction - feasible HER electrocatalysts in acidic medium? In Abstracts of Papers of the American Chemical Society, 254, 350. 254th National Meeting and Exposition of the American-Chemical-Society
(ACS) on Chemistry's Impact on the Global Economy, Washington, DC, August 20, 2017 - August 24, 2017. (2017)
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.