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
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…