Elkot, M.; Sun, B.; Zhou, X.; Ponge, D.; Raabe, D.: Grain boundary κ-carbides in high manganese lightweight steel: degradation assessment and potential solutions. 5th International High Manganese Steel Conference 2022, online, Linz, Austria (2022)
Liu, C.; Roters, F.; Raabe, D.: Finite strain crystal plasticity-phase field modeling of deformation twinning and dislocation slip interaction in hexagonal materials. 18th European Mechanics of Materials Conference, online, Oxford, UK (2022)
Ma, Y.; Villanova, J.; Requena, G.; Raabe, D.: Understanding the physical-chemical phenomena in green steel production using synchrotron X-ray techniques. European Synchrotron Radiation Facility User Meeting 2022, Online (2022)
Liu, C.; Roters, F.; Raabe, D.: Finite strain crystal plasticity-phase field modeling of twin, dislocation, and grain boundary interactions. 19th International Conference on Strength of Materials ICSMA, Metz, France (2022)
Liu, C.; Shanthraj, P.; Davis, A.; Fellowes, J.; Prangnell, P.; Raabe, D.: Chemo-mechanical phase-field model for two-sublattice phases: phase precipitation in Al–Zn–Mg–Cu alloys. 19th International Conference on Strength of Materials ICSMA, Metz, France (2022)
Raabe, D.: The Science of dirty alloys: recycling-based Aluminium for a circular economyle. The 4th International Conference on Light Materials - Science and Technology, Opening Plenary Lecture (delivered online) (2021)
Morsdorf, L.; Mayweg, D.; Li, Y.; Diederichs, A.; Raabe, D.; Herbig, M.: Moving cracks and missing C atoms – chasing the mysteries of white etching areas in bearings. 2nd meeting of "Metallurgical Metallurgy for Plasticity-driven Damage and Fracture" research forum 2021 (ISIJ), virtual (2021)
Ma, Y.; Zaefferer, S.; Raabe, D.: Hydrogen-based direct reduction of iron ores: Microstructure, crystallography, and reduction mechanisms. 2021 International Metallurgical Processes Workshop for Young Scholars (IMPROWYS2021), a hybrid event, Online (2021)
Antonov, S.; Shi, R.; Li, D.; Kloenne, Z.; Zheng, Y.; Fraser, H. L.; Raabe, D.; Gault, B.: Atom Probe Tomographic Study of Precursor Metastable Phases and Their Influence on a Precipitation in the Metastable ß-titanium Alloy, Ti–5Al–5Mo–5V–3Cr. TMS 2021 Annual Meeting & Exhibition, online, Pittsburgh, PA, USA (2021)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
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.