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
The full potential of energy materials can only be exploited if the interplay between mechanics and chemistry at the interfaces is well known. This leads to more sustainable and efficient energy solutions.