Mayrhofer, K. J. J.: Kopplung von Elektrochemie mit zeitaufgelöster Elementanalytik. Jahrestagung 2013 der Gesellschaft für Korrosionsschutz e.V., Frankfurt/Main, Germany (2013)
Schuppert, A. K.; Topalov, A. A.; Savan, A.; Ludwig, A.; Mayrhofer, K. J. J.: Pt-Cu Alloys as Catalysts for the Oxygen Reduction Reaction – A Thin-Film Study of Activity and Stability. 224th ECS Meeting, San Francisco, CA, USA (2013)
Mayrhofer, K. J. J.: Stability Investigations of Electrocatalysts for Electrochemical Energy Conversion. 64th Annual Meeting of the International Society of Electrochemistry “Electrochemistry for a New Era”, Santiago de Queretaro, Mexico (2013)
Cherevko, S.; Topalov, A. A.; Žeradjanin, A. R.; Mayrhofer, K. J. J.: Coupling of electrochemistry and inductively plasma - Mass spectroscopy: Investigation of the noble metals corrosion. 59th International Conference on Analytical Sciences and Spectroscopy(ICASS)
, Mont-Tremblant, Canada (2013)
Mayrhofer, K. J. J.: The particle-size effect in oxygen reduction electrochemistry on platinum - From model to real catalysts. Third Russian-German Conference on Catalysis “Bridging the Gap between Model and Real Catalysis. Energy-Related Catalysis”, Lake Baikal, Russia (2013)
Mayrhofer, K. J. J.: Stability of electrocatalysts for electrochemical energy conversion. Seminar lecture at Carl-von-Ossietzky Universität Oldenburg, Oldenburg, Germany (2013)
Mayrhofer, K. J. J.: Stability of Electrocatalysts for Electrochemical Energy Conversion. Seminar lecture at Ruhr-Universität Bochum, Bochum, Germany (2013)
Mayrhofer, K. J. J.: Entwicklung einer Hochdurchsatzmethode gekoppelt mit in-situ Analytik für die Optimierung der elektrochemischen CO2–Reduktion. Chemische Prozesse und Stoffliche Nutzung von CO2 - 3. BMBF-Statuskonferenz - Seminar lecture , Berlin, Germany (2013)
Mayrhofer, K. J. J.: Stability of electrocatalysts on the nanoscale – Identical-location transmission electron microscopy. Insights from the Inside: Imaging Electrochemical Systems, Paul Scherrer Institut, Villigen, Switzerland (2013)
Beese, P.; Venzlaff, H.; Enning, D.; Mayrhofer, K. J. J.; Widdel, F.; Stratmann, M.: Monitoring anerobic microbially influenced corrosion with electrochemical frequency modulation. 12th Topical Meeting of the International Society of Electrochemistry & XXII International Symposium on Bioelectrochemistry and Bioenergetics of the Bioelectrochemical Society, Bochum, Germany (2013)
Mayrhofer, K. J. J.: Online-investigation of electrode material dissolution - Coupling electrochemistry to an ICP-MS. Deutsche Physikalische Gesellschaft Spring Meeting, Regensburg, Germany (2013)
Topalov, A. A.; Cherevko, S.; Žeradjanin, A. R.; Mayrhofer, K. J. J.: Stability of Electrocatalyst Materials – A Limiting Factor for the Deployment of Electrochemical Energy Conversion? Third Russian-German Seminar on Catalysis “Bridging the Gap between Model and Real Catalysis. Energy-Related Catalysis”, Burduguz, Lake Baikal, Russia (2013)
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
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
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…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
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