Kanjilal, A.; Duarte, M. J.; Scheu, C.; Dehm, G.: Hydrogen Permeation Barrier Layers for the Hydrogen Economy. Annual Review of Materials Research 55, pp. 125 - 149 (2025)
Garzón Manjón, A.; Vega-Paredes, M.; Aymerich Armengol, R.; Esteban, D.; Sanchez, S.; Bals, S.; Scheu, C.: Insights into the degradation of nanocatalysts under fuel cell conditions by 3D identical location STEM. BIO Web of Conferences 129 (2024), 13013 (2024)
Cheng, N.; Kanzler, L.; Jiang, Y.; Mingers, A. M.; Weiss, M.; Scheu, C.; Marschall, R.; Zhang, S.: Activity and stability of ZnFe2O4 photoanodes under photoelectrochemical conditions. ACS Catalysis 14 (14), pp. 10789 - 10795 (2024)
Felten, M.; Lutz, A.; Aliramaji, S.; Zhang, S.; Scheu, C.; Schneider, J. M.; Zander, D.: The effect of Al on the corrosion resistance of binary Mg–Al solid solutions: Combining in-situ electrochemistry with combinatorial thin films. Electrochemistry Communications 164, 107749 (2024)
Felten, M.; Chaineux, V.; Zhang, S.; Tehranchi, A.; Hickel, T.; Scheu, C.; Spille, J.; Lipińska-Chwałek, M.; Mayer, J.; Berkels, B.et al.; Hans, M.; Greving, I.; Flenner, S.; Sefa, S.; Zander, D.: The effect of Laves phases and nano-precipitates on the electrochemical corrosion resistance of Mg–Al–Ca alloys under alkaline conditions. Journal of Magnesium and Alloys 12 (6), pp. 2447 - 2461 (2024)
Jang, K.; Kim, M.-Y.; Jung, C.; Kim, S.-H.; Choi, D.; Park, S.-C.; Scheu, C.; Choi, P.-P.: Direct Observation of Trace Elements in Barium Titanate of Multilayer Ceramic Capacitors Using Atom Probe Tomography. Microscopy and Microanalysis 30 (6), pp. 1047 - 1056 (2024)
Cheraparambil, H.; Vega-Paredes, M.; Scheu, C.; Weidenthaler, C.: Unraveling the Evolution of Dynamic Active Sites of LaNixFe1-xO3 Catalysts During OER. ACS Applied Materials & Interfaces 16 (17), pp. 21997 - 22006 (2024)
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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.