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)
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
Water electrolysis has the potential to become the major technology for the production of the high amount of green hydrogen that is necessary for its widespread application in a decarbonized economy. The bottleneck of this electrochemical reaction is the anodic partial reaction, the oxygen evolution reaction (OER), which is sluggish and hence…