Roters, F.; Jeon-Haurand, H. S.; Raabe, D.: A texture evolution study using the Texture Component Crystal Plasticity FEM. Plasticity 2005, Kauai, USA (2005)
Raabe, D.: The role of texture and anisotropy in nano- and microscale materials mechanics. Keynote lecture at the Plasticity Conference 2004/2005, Hawai, USA (2005)
Raabe, D.: Using the Lattice Boltzmann Method for Multiscale Modeling in Materials Science and Engineering. Lecture at the Plasticity Conference 2004/2005, Hawai, USA (2005)
Raabe, D.; Romano, P.; Al-Sawalmih, A.; Sachs, C.; Servos, G.; Hartwig, H. G.: Microstructure and Mesostructure of the exoskeleton of the lobster homarus americanus. MRS Spring Meeting, San Francisco, CA, USA (2005)
Raabe, D.; Roters, F.: How do 10^10 crystals co-deform. "Weitab vom Hooksechen Gesetz -- Moderne Ansätze und Ingenieurpraxis großer inelastischer deformation metallischer Werkstoffe'' Symposium der Akademie der Wissenschaften und der Literatur, Mainz, Germany (2004)
Raabe, D.; Roters, F.: Physically-Based Large-Scale Texture and Anisotropy Simulation for Automotive Sheet Forming. TMS Fall meeting, New Orleans, LA, USA (2004)
Konrad, J.; Raabe, D.; Zaefferer, S.: Investigation of Nucleation Mechanisms of Recrystallization in Warm Rolled Fe3Al Base Alloys. 2nd International Conference on Recrystallization and Grain Growth, Annecy, France (2004)
Raabe, D.: Recrystallization in Polymers – Experiments and Simulations. Invited Keynote lecture, 2nd International Conference on Recrystallization and Grain Growth, REX&GG 2004 Annecy, Annecy, France (2004)
Raabe, D.: Textures and Micromechanics in Experiment and Theory on Metals and Semi-Crystalline Polymers. Joint Colloquium of the University of Vienna and Technical University of Vienna, Vienna (2004)
Raabe, D.: Simulations and Experiments on Micromechanics in Metals and Polymers. Colloquium lecture at the Department for Theoretical Physics, University of Paderborn (2004)
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
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.
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.
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.
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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…