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
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…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
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.