Souza Filho, I. R.; Ma, Y.; Raabe, D.; Springer, H.: Fundamentals of Green Steel Production: On the Role of Gas Pressure During Hydrogen Reduction of Iron Ores. JOM-Journal of the Minerals Metals & Materials Society 75, pp. 2274 - 2286 (2023)
Moravcik, I.; Zelený, M.; Dlouhý, A.; Hadraba, H.; Moravcikova-Gouvea, L.; Papež, P.; Fikar, O.; Dlouhy, I.; Raabe, D.; Li, Z.: Impact of interstitial elements on the stacking fault energy of an equiatomic CoCrNi medium entropy alloy: theory and experiments. Science and Technology of Advanced Materials 23 (1), pp. 376 - 392 (2022)
Khanchandani, H.; Stephenson, L.; Raabe, D.; Zaefferer, S.; Gault, B.: Hydrogen/Deuterium Charging Methods for the Investigation of Site-Specific Microstructural Features by Atom Probe Tomography. Microscopy and Microanalysis 28 (S1), p. 1664 (2022)
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
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.