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)
Onur, E.; Lee, J.; Aymerich-Armengol, R.; Lim, J.; Dai, Y.; Tüysüz, H.; Scheu, C.; Weidenthaler, C.: Exploring the Effects of the Photochromic Response and Crystallization on the Local Structure of Noncrystalline Niobium Oxide. ACS Applied Materials & Interfaces 16 (19), pp. 25136 - 25147 (2024)
Knezevic, M.; Hoang, T.-H.; Wang, C.; Johar, M.; Manjón, A. G.; Rauret, D. L.; Scheu, C.; Erard, M.; Berardan, D.; Arbiol, J.et al.; Colbeau-Justin, C.; Ghazzal, M. N.: Amplified Photoluminescence of CsPbX3 Perovskites Confined in Silica Film with a Chiral Nematic Structure. Advanced Materials Interfaces 11 (3), 2300636 (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
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.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…