Saveleva, V. A.; Wang, L.; Kasian, O.; Batuk, M.; Hadermann, J.; Gallet, J.-J.; Bournel, F.; Alonso-Vante, N.; Ozouf, G.; Beauger, C.et al.; Mayrhofer, K. J. J.; Cherevko, S.; Gago, A. S.; Friedrich, K. A.; Zafeiratos, S.; Savinova, E. R.: Insight into the Mechanisms of High Activity and Stability of Iridium Supported on Antimony-Doped Tin Oxide Aerogel for Anodes of Proton Exchange Membrane Water Electrolyzers. ACS Catalysis 10 (4), pp. 2508 - 2516 (2020)
Shkirskiy, V.; Speck, F. D.; Kulyk, N.; Cherevko, S.: On the time resolution of electrochemical scanning flow cell coupled to downstream analysis. Journal of the Electrochemical Society 166 (16), pp. H866 - H870 (2019)
Kasian, O.; Grote, J.-P.; Geiger, S.; Cherevko, S.; Mayrhofer, K. J. J.: The Common Intermediates of Oxygen Evolution and Dissolution Reactions during Water Electrolysis on Iridium. Angewandte Chemie International Edition 57 (9), pp. 2488 - 2491 (2018)
Cherevko, S.: Stability and dissolution of electrocatalysts: Building the bridge between model and “real world” systems. Current Opinion in Electrochemistry 8, pp. 118 - 125 (2018)
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
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.