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.
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 goal of this project is to develop an environmental chamber for mechanical testing setups, which will enable mechanical metrology of different microarchitectures such as micropillars and microlattices, as a function of temperature, humidity and gaseous environment.