Grote, J.-P.; Žeradjanin, A. R.; Cherevko, S.; Mayrhofer, K. J. J.: Electrochemical CO2 reduction: A Combinatorial High-Throughput Approach for Catalytic Activity, Stability, and Selectivity Investigations. Electrochemistry 2014, Mainz, Germany (2014)
Grote, J.-P.; Žeradjanin, A. R.; Cherevko, S.; Mayrhofer, K. J. J.: Electrochemical CO2 reduction: A Combinatorial High-Throughput Approach for Catalytic Activity, Stability, and Selectivity Investigations. 247th ACS National Meeting, Dallas, TX, USA (2014)
Grote, J.-P.; Žeradjanin, A. R.; Cherevko, S.; Mayrhofer, K. J. J.: Electrochemical CO2 Reduction A Combinatorial High-Throughput Approach for Catalytic Activity, Stability and Selectivity Investigations. International Symposium on Electrocatalysis: Explorations of the Volcano Landscape, Whistler, BC, Canada (2014)
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
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…