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)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.