Bitzek, E.: Atomistic Simulations of Dislocation – Precipitate Interactions in Model Ni-based Superalloys. EuroSuperalloys 2022 - 4th European Symposium on Superalloys and their Applications, Plenary, Bamberg, Germany (2022)
Bitzek, E.: Elastic and Plastic Response of FCC-Metallic Nanostructures under complex Loads. Gordon Research Conference Structural Nanomaterials, Les Diablerets, Switzerland (2022)
Bitzek, E.: The Origin of Deformation-Induced Topological Anisotropy in Silica Glass. International Conference on the Strength of Materials ICSMA 19, Metz, France (2022)
Atila, A.: Influence of Structure and Topology on the Deformation Behavior and Fracture of Oxide Glasses. Dissertation, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) (2023)
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 development of pyiron started in 2011 in the CM department to foster the implementation, rapid prototyping and application of the highly advanced fully ab initio simulation techniques developed by the department. The pyiron platform bundles the different steps occurring in a typical simulation life cycle in a single software platform and…
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
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 prediction of materials properties with ab initio based methods is a highly successful strategy in materials science. While the working horse density functional theory (DFT) was originally designed to describe the performance of materials in the ground state, the extension of these methods to finite temperatures has seen remarkable…