Roters, F.; Ma, A.; Raabe, D.: The Texture Component Crystal Plasticity Finite Element Method. Keynote lecture at the Third GAMM (Society for Mathematics and Mechanics) Seminar on Microstructures, Stuttgart, Germany (2004)
Raabe, D.: Metallkundliche Ursachen und mechanische Auswirkungen unvollständiger Rekristallisation. Werkstoffausschuß des Vereins Deutscher Eisenhüttenleute, VDEh, Düsseldorf, German (2004)
Raabe, D.: Polycrystal Mechanics of Metals and Polymers - Experiments and Theory. Colloquium Lecture at the Massachusetts Institute of Technology, Cambridge, USA (2003)
Wang, Y.; Roters, F.; Raabe, D.: Simulation of Texture and Anisotropy during Metal Forming with Respect to Scaling Aspects. 1st Colloquium Process Scaling, Bremen, Germany (2003)
Raabe, D.: Simulation of Texture and Anisotropy during Metal Forming with Respect to Scaling Aspects. Lecture at the 1st Colloquium on Process Scaling, Bremen (2003)
Raabe, D.: Experiments and Theory of Surface- and Polycrystal Mechanics. Colloquium Lecture at the Technical University of Hamburg-Harburg, Hamburg-Harburg (2003)
Kobayashi, S.; Zaefferer, S.; Schneider, A.; Raabe, D.; Frommeyer, G.: Slip system determination by rolling texture measurements around the strength peak temperature in a Fe3Al-based alloy. Intern. Conf. on Strength of Materials (ICSMA 13), Budapest, Hungary (2003)
Raabe, D.: Experimental and Theoretical Investigation of Grain Scale Plasticity. Colloquium lecture at the Department of Materials Science and Engineering of Northwestern University, Evanston, Chicago, USA (2002)
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.
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.