Surendralal, S.; Todorova, M.: Automated Calculations for Charged Point Defects in Magnesium Oxide and Iron Oxides. Master, Ruhr-Universität Bochum, GermanyRuhr-Universität Bochum, Bochum, Germany (2016)
Sözen, H. I.: Ab initio investigations on the energetics and kinetics of defects in Fe–Al alloys. Master, Ruhr-Universität Bochum, Bochum, Germany (2014)
Tillack, N.: Chemical Trends in the Yttrium-Oxide Precipitates in Oxide Dispersion Strengthened Steels: A First-Principles Investigation. Master, Ruhr-Universität Bochum, Bochum, Germany (2012)
Kim, O.: Ab-initio study of formation and interaction energies in steel and their relations to the solubility limit of carbon in austenite and ferrite. Master, RWTH-Aachen, Aachen, Germany (2007)
Alkauskas, A.; Deak, P.; Neugebauer, J.; Pasquarello, A.; van de Walle, C. G. (Eds.): Advanced Calculations for Defects in Solids - Electronic Structure Methods - Preface (Special issue). Physica Status Solidi B 248, (1) (2011), 17-18 pp.
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.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.