Mayrhofer, K. J. J.: Stability Investigations of Electrocatalysts for Electrochemical Energy Conversion. Seminar lecture at Helmholtz-Zentrum Berlin, Berlin, Germany (2014)
Rossrucker, L.; Schulz, J.; Krebs, S.; Mayrhofer, K. J. J.: A microelectrochemical flow cell coupled to ICP-MS for corrosion investigation of zinc alloys. Gordon Research Seminar on Corrosion – Aqueous, New London, NH, 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. 247th ACS National Meeting, Dallas, TX, USA (2014)
Mayrhofer, K. J. J.: Scanning Electrochemical Microscopy: Reading, Writing, Monitoring of Functional Interfaces. 65th Annual Meeting of the International Society of Electrochemistry, Symposium, Lausanne, Switzerland (2014)
Mayrhofer, K. J. J.: Basic Science and Key Technologies for Future Applications. Electrochemistry 2014, Johannes Gutentenberg-Universität Mainz, Mainz, Germany (2014)
Mayrhofer, K. J. J.: Combinatorial study of fundamental electrocatalyst performance of materials for oxygen evolution. Heraeus seminar "From Sunlight to Fuels - Novel Materials and Processes for Photovoltaic and (Photo)Catalytic Applications", Bad Honnef, Germany (2014)
Mayrhofer, K. J. J.: Oxygen electrochemistry as a cornerstone for sustainable energy conversion. International Symposium „Recent Achievements and Future Trends in Electrocatalysis“, Erlangen, Germany (2014)
Mayrhofer, K. J. J.: Stability of catalyst materials - the key for the deployment of electrochemical energy conversion. Seminar lecture at Gesellschaft Deutscher Chemiker, Mülheim/Ruhr, Germany (2014)
Mayrhofer, K. J. J.: Electrochemical Energy Conversion – The key for sustainable utilization of solar energy. Pregl Seminar lecture, National Institute of Chemistry, Ljubljana, Slovenia (2014)
Mayrhofer, K. J. J.: Kombinatorische elektrokatalytische CO2-Reduktion – ECCO2. BMBF Statuskonferenz „Technologien für Nachhaltigkeit und Klimaschutz – Chemische Prozesse und stoffliche Nutzung von CO2“, Königswinter, Germany (2014)
Mayrhofer, K. J. J.: Stability Investigations of Electrocatalysts for Electrochemical Energy Conversion. Annual Symposium of the KNCV Working Group on Electrochemistry, Leiden, The Netherlands (2013)
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…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
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…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…