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)
Scheu, C.: Grain growth and dewetting of thin Al films on (0001) Al2O3 substrates. 3 Phase, Interface, Component Systems (PICS), Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), Marseille, France (accepted)
Scheu, C.: In-situ Transmission Electron Microscopy Observation of Heat-Induced Structural Changes of 3D Nb3O(OH) Networks. Electronic Materials and Applications 2017 (EMA), Orlando, FL, USA (2017)
Scheu, C.: Insights into structural and functional properties of Nb3O7(OH) and TiO2 nanoarrays. European Materials Research Society’s (EMRS) Fall Meeting, Warsaw, Poland (2016)
Scheu, C.: Transmission electron microscopy – a versatile tool to study the microstructure of HT-PEMFC. Materials Science 2016, Atlanta, GA, USA (2016)
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
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.
New product development in the steel industry nowadays requires faster development of the new alloys with increased complexity. Moreover, for these complex new steel grades, it is more challenging to control their properties during the process chain. This leads to more experimental testing, more plant trials and also higher rejections due to…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…