Frank, A.; Changizi, R.; Scheu, C.: Preparative and analytical challenges in electron microscopic investigation of nanostructured CuInS2 thin films for energy applications. Microscience Microscopy Congress (MMC) 2019, Manchester, UK (2019)
Gänsler, T.; Frank, A.; Betzler, S. B.; Scheu, C.: Electron microscopy studies of Nb3O7(OH) nanostructured cubes - insights in the growth mechanism. Microscience Microscopy Congress MMC2019, Manchester, UK (2019)
Scheu, C.; Folger, A.: Annealing treatment in various atmospheres: A tool to control structure and properties of TiO2 nanowires. 6th International Symposium on Metastable, Amorphous and Nanostructured Materials (ISMANAM-2019), Chennai, India (2019)
Scheu, C.; Zhang, S.: Effect of interfaces on the photoelectrochemical performance of functional oxides. PICS3 2019 Meeting, Centre Interdisciplinaire de Nanoscience de Marseille, Marseille, France (2019)
Frank, A.; Dias, M.; Hieke, S. W.; Kruth, A.; Scheu, C.: Electron microscopic investigation of the influence of plasma parameters on VOx films deposited by a plasma ion assisted process. E-MRS 2019 Spring Meeting, Nice, France (2019)
Lim, J.; Hengge, K. A.; Aymerich Armengol, R.; Gänsler, T.; Scheu, C.: Structural Investigation of 2D Nanosheets and their Assembly to 3D Porous Morphologies. 5th International Conference on Electronic Materials and Nanotechnology for Green Environment (ENGE 2018), Jeju, Korea (2018)
Scheu, C.; Hengge, K. A.: Unraveling catalyst growth and degradation mechanisms via STEM. International Workshop on Advanced and In-situ Microscopies of Functional Nanomaterials and Devices, IAMNano 2018, Hamburg, Germany (2018)
Scheu, C.: Nanostructured photocatalyst based on transition metal oxides. Seminar at National University of Singapore, Dept. of Materials Science and Engineering, Singapore, Singapore (2018)
Scheu, C.: Insights in interfaces by combining Cs corrected STEM and APT experiments with atomistic simulations. Seminar at the University of Sydney, Faculty of Engineering & Information Technologies, Sydney, Australia (2018)
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…
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…
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.
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.
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.