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)
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
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.