Bitzek, E.: The Origin of Deformation-Induced Topological Anisotropy in Silica Glass. International Conference on the Strength of Materials ICSMA 19, Metz, France (2022)
Meier de Andrade, A.; Bitzek, E.: Fracture in the Presence of Hydrogen - Influence of the Potential. The 11th International Conference on Multiscale Materials Modeling, Prague, Czech Republic (2024)
Meier de Andrade, A.; Bitzek, E.: Fracture in the Presence of Hydrogen - Influence of the Potential. The XXII Brazilian Materials Research Society (B-MRS) Meeting 2024, Santos, Brazil (2024)
Atila, A.: Influence of Structure and Topology on the Deformation Behavior and Fracture of Oxide Glasses. Dissertation, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) (2023)
Poul, M.; Huber, L.; Bitzek, E.; Neugebauer, J.: Systematic Structure Datasets for Machine Learning Potentials: Application to Moment Tensor Potentials of Magnesium and its Defects. arXiv (2022)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
Adding 30 to 50 at.% aluminum to iron results in single-phase alloys with an ordered bcc-based crystal structure, so-called B2-ordered FeAl. Within the extended composition range of this intermetallic phase, the mechanical behavior varies in a very particular way.
The structure of grain boundaries (GBs) is dependent on the crystallographic structure of the material, orientation of the neighbouring grains, composition of material and temperature. The abovementioned conditions set a specific structure of the GB which dictates several properties of the materials, e.g. mechanical behaviour, diffusion, and…
In this project, the effects of scratch-induced deformation on the hydrogen embrittlement susceptibility in pearlite is investigated by in-situ nanoscratch test during hydrogen charging, and atomic scale characterization. This project aims at revealing the interaction mechanism between hydrogen and scratch-induced deformation in pearlite.
By using the DAMASK simulation package we developed a new approach to predict the evolution of anisotropic yield functions by coupling large scale forming simulations directly with crystal plasticity-spectral based virtual experiments, realizing a multi-scale model for metal forming.