Roters, F.: Development of a dislocation density based constitutive model for crystal plasticity FEM with special regard to grain boundaries. Institutsseminar, MPI für Mathematik in den Naturwissenschaften, Leipzig, Germany (2005)
Roters, F.; Ma, A.: Ein nicht lokales Versetzungsdichte basiertes konstitutives Gesetz für Kristall-Plastizitäts-Finite-Elemente-Simulationen. Institutsseminar, Fraunhofer-Institut für Werkstoffmechanik IWM, Freiburg (2005)
Roters, F.; Ma, A.: Die Kristall-Plastizitäts-Finite-Elemente-Methode und ihre Anwendung auf Bikristall-Scherversuche. Institutsseminar, Institut für Werkstoffwissenschaften, Universität, Erlangen-Nürnberg (2005)
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.; 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)
Roters, F.: Das Anwendungspotential der Kristallplastizitäts-Finite-Elemente-Methode aus Sicht der werkstoffphysikalischen Grundlagen. Werkstoffwoche 2004, München, Germany (2004)
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)
Roters, F.: Numerische Simulation der Metallumformung und Rekristallisation. Workshop, Simulation und numerische Modellierung, Materials Valley e.V., Mainz (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)
Roters, F.: Crystal plasticity FEM from grain scale plasticity to anisotropic sheet forming behaviour. 13th international Workshop on Computational Modelling of the Mechanical Behaviour of Materials, Magdeburg, Germany (2003)
Raabe, D.; Helming, K.; Roters, F.; Zhao, Z.; Hirsch, J.: A Texture Component Crystal Plasticity Finite Element Method for Scalable Large Strain Anisotropy Simulations. ICOTOM 13, Seoul, South Korea (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
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.
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.
Hydrogen embrittlement is one of the most substantial issues as we strive for a greener future by transitioning to a hydrogen-based economy. The mechanisms behind material degradation caused by hydrogen embrittlement are poorly understood owing to the elusive nature of hydrogen. Therefore, in the project "In situ Hydrogen Platform for…
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.