Hieke, S. W.; Willinger, M. G.; Wang, Z.-J.; Richter, G.; Dehm, G.; Scheu, C.: Evolution of faceted voids and fingering instabilities in a model thin film system - Insights by in-situ environmental scanning electron microscopy. Symposium - In situ Microscopy with Electrons, X‐rays and Scanning Probes, Universität Erlangen‐Nürnberg, Erlangen, Germany (2017)
Scheu, C.: Thermal stability and phase transformation of nanostructured Nb3O7(OH) photocatalyst. Material Science & Technology (MST), Salt Lake City, UT, USA (2017)
Zhang, S.; Diehl, L.; Lotsch, B. V.; Scheu, C.: In-situ heating study on the growth of NiOx nanoparticles on photocatalytic supports. International GRK 1896 Satellite Symposium “In Situ Microscopy with Electrons, X-rays and Scanning Probes, Erlangen, Germany (2017)
Betzler, S. B.; Scheu, C.: Nb3O7(OH) – a promising candidate for photocatalyst: synthesis, nanostructure and functionality. International Conference on Functional Nanomaterials and Nanodevices, Budapest, Hungary (2017)
Garzón-Manjón, A.; Zahn, G.; Kuchshaus, C.; Ludwig, A.; Scheu, C.: Observation of the Structural Transformation of Multinary Nanoparticles by In-situ Transmission Electron Microscopy. 13th Multinational Congress on Microscopy (MCM2017), Rovinj, Croatia (2017)
Scheu, C.: Structural and functional properties of Nb3O7(OH) nanoarrays and their modification via doping and thermal annealing. Talk at Institut für Werkstofftechnik, Technische Universität Ilmenau, Ilmenau, Gemany (2017)
Scheu, C.: Interface structure of Kappa-Carbides in high Mn Steels. 3 Phase, Interface, Component Systems (PICS), Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), Marseille, France (2017)
Raabe, D.; Gault, B.; Yao, M.; Scheu, C.; Liebscher, C.; Herbig, M.: Correlated and simulated electron microscopy and atom probe tomography. Workshop on Possibilities and Limitations of Quantitative Materials Modeling and Characterization 2017, Bernkastel, Germany (2017)
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
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…
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.
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…
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.
The structures of grain boundaries (GBs) have been investigated in great detail. However, much less is known about their chemical features, owing to the experimental difficulties to probe these features at the near-atomic scale inside bulk material specimens. Atom probe tomography (APT) is a tool capable of accomplishing this task, with an ability…
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.