Koster, D.; Žeradjanin, A. R.; Battistel, A.; La Mantia, F.: Extracting the kinetic parameters of the hydrogen evolution reaction at Pt in acidic media by means of dynamic multi-frequency analysis. Electrochimica Acta 308, pp. 328 - 336 (2019)
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 group aims at unraveling the inner workings of ion batteries, with a focus on probing the microstructural and interfacial character of electrodes and electrolytes that control ionic transport and insertion into the electrode.