Güder, Ü.; Yavaş, A.; Çeken, M.; Yalçın, Ü.; Raabe, D.: A New Type of Steel-Making Crucible from Medieval Anatolia. 7th International Conference of Medieval Archaeology, online, Zagreb, Croatia (2020)
Raabe, D.: Theory-guided design of materials, microstructures and processes. Workshop on the Future of Materials Science, Institute of Nanotechnology, KIT, online, Karlsruhe, Germany (2020)
Raabe, D.; Diehl, M.; Shanthraj, P.; Sedighiani, K.; Roters, F.: Multi-scale and multi-physics simulations of chemo-mechanical crystal plasticity problems for complex engineering materials using DAMASK. Online Colloquium Lecture, Department of Materials Science and Engineering, KTH Royal Institute of Technology, Stockholm, Sweden (2020)
Kwiatkowski da Silva, A.; Ponge, D.; Gault, B.; Raabe, D.: The Relevance of Interfacial Segregation for Controlling Second Phase Precipitation in Advanced High Strength Steels. TMS 2020 Annual Meeting & Exhibition, San Diego, CA, USA (2020)
Sedighiani, K.; Traka, K.; Diehl, M.; Roters, F.; Bos, K.; Sietsma, J.; Raabe, D.: A Coupled Crystal Plasticity – Cellular Automaton Method for 3D Modeling of Recrystallization: Part I: Crystal Plasticity. International Conference on Plasticity, Damage, and Fracture, Riviera May, Mexico (2020)
Diehl, M.; Kusampudi, N.; Kusche, C.; Raabe, D.; Korte-Kerzel, S.: Combining Experiments, Simulations, and Data Science to Understand Damage in Dual Phase Steels. International Conference on Plasticity, Damage, and Fracture, Riviera May, Mexico (2020)
Cereceda, D.; Diehl, M.; Roters, F.; Raabe, D.; Perlado, J. M.; Marian, J.: Understanding the Plastic Behavior of Tungsten From First Principles to Crystal Plasticity. International Mechanical Engineering Congress & Exposition (IMECE) 2019, Salt Lake City, UT, USA (2019)
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
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.
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…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
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…
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.
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.