Žeradjanin, A. R.; Topalov, A. A.; Cherevko, S.; Keeley, G. P.: Sustainable generation of hydrogen using chemicals with regional oversupply - Feasibility of the electrolysis in acido-alkaline reactor. International Journal of Hydrogen Energy 39 (29), pp. 16275 - 16281 (2014)
Klemm, S. O.; Karschin, A.; Mechler, A. K.; Topalov, A. A.; Katsounaros, I.; Mayrhofer, K. J. J.: Corrigendum to “Time and potential resolved dissolution analysis of rhodium using a microelectrochemical flow cell coupled to an ICP-MS” [Journal of Electroanalytical Chemistry 677–680 (2012) 50–55] (S1572665712001865) (10.1016/j.jelechem.2012.05.006)). Journal of Electroanalytical Chemistry 693, p. 127 (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
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.