Schuppert, A. K.; Topalov, A. A.; Savan, A.; Klemm, S. O.; Ludwig, A.; Mayrhofer, K. J. J.: Fast Screening of PEMFC-Catalysts with a Scanning Flow Cell System. 63rd Annual Meeting of the International Society of Electrochemistry, Prague, Czech Republic (2012)
Katsounaros, I.; Meier, J. C.; Mayrhofer, K. J. J.: Reduction and oxidation of hydrogen peroxide on polycrystalline platinum. Electrocatalysis: Present and Future - an ELCAT Meeting, Alicante, Spain (2011)
Katsounaros, I.; Topalov, A. A.; Mayrhofer, K. J. J.: Electrochemical reduction of CO2 to fuels: Directions and perspectives. Electrochemistry 2010: From Microscopic Understanding to Global Impact, Bochum, Germany (2010)
Meier, J. C.; Hartl, K.; Nesselberger, M.; Arenz, M.; Mayrhofer, K. J. J.: The Particle Size Effect in Electrocatalysis of Fuel Cell Reactions. Electrochemistry 2010, Bochum, Germany (2010)
Meier, J. C.; Hartl, K.; Juhart, V.; Hanzlik, M.; Ashton, S.; Wiberg, G. K. H.; Arenz, M.; Mayrhofer, K. J. J.: Stability of Pt alloy high surface area catalysts. International Conference on Materials for Energy, Karlsruhe, Germany (2010)
Mayrhofer, K. J. J.: Advanced Methods in Electroanalytical Chemistry Part I. Lecture: Lecturing at Ruhr-Universität Bochum, Fakultät für Chemie und Biochemie, WS 2014/2015, Bochum, Germany, 2014-10 - 2015-03
Mayrhofer, K. J. J.: Advanced Methods in Electroanalytical Chemistry Part II. Lecture: Lecturing at Ruhr-Universität Bochum, Fakultät für Chemie und Biochemie, SS 2015, Bochum, Germany, 2015-04 - 2015-09
Mayrhofer, K. J. J.: Advanced Methods in Electroanalytical Chemistry Part I. Lecture: Lecturing at Ruhr-Universität Bochum, Fakultät für Chemie und Biochemie, WS 2013/2014, Bochum, Germany, 2013-10 - 2014-03
Mayrhofer, K. J. J.: Advanced Methods in Electroanalytical Chemistry Part II. Lecture: Lecturing at Ruhr-Universität Bochum, Fakultät für Chemie und Biochemie, SS 2014, Bochum, Germany, 2014-04 - 2014-09
Erbe, A.; Valtiner, M.; Muhler, M.; Mayrhofer, K. J. J.; Rohwerder, M.: Physical chemistry of surfaces and interfaces. Lecture: Course for PhD students of the IMPRS Surmat, Ruhr-Universität Bochum, Bochum, Germany, October 01, 2013 - October 31, 2013
Mayrhofer, K. J. J.: Advanced Methods in Electroanalytical Chemistry Part II. Lecture: Lecturing at Ruhr-Universität Bochum, Fakultät für Chemie und Biochemie, SS 2013, Bochum, Germany, 2013-04 - 2013-09
Mayrhofer, K. J. J.: Advanced Methods in Electroanalytical Chemistry Part I. Lecture: Lecturing at Ruhr-Universität Bochum, Fakultät für Chemie und Biochemie, WS 2012/2013, Bochum, Germany, 2012-10 - 2013-03
Mayrhofer, K. J. J.: Advanced Methods in Electroanalytical Chemistry Part II. Lecture: Lecturing at Ruhr-Universität Bochum, Fakultät für Chemie und Biochemie, SS 2012, Bochum, Germany, April 01, 2012 - September 30, 2012
Pizzutilo, E.: Towards On-Site Production of Hydrogen Peroxide with Gold-Palladium catalysts in Electrocatalysis and Heterogeneous Catalysis. Dissertation, Ruhr-Universität Bochum, Bochum, Germany (2017)
Polymeros, G.: Performance of catalysts in electrode structure – bridging the gap between fundamental catalyst properties and behavior in real applications. Dissertation, Ruhr-Universität Bochum, Fakultät für Maschinenbau, Bochum, Germany (2017)
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
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.
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.