Pei, Z.; Yin, J.; Liaw, P. K.; Raabe, D.: Toward the design of ultrahigh-entropy alloys via mining six million texts. Nature Communications 14, 54 (2023)
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)
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
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
In this project, we investigate a high angle grain boundary in elemental copper on the atomic scale which shows an alternating pattern of two different grain boundary phases. This work provides unprecedented views into the intrinsic mechanisms of GB phase transitions in simple elemental metals and opens entirely novel possibilities to kinetically engineer interfacial properties.
The goal of this project is the investigation of interplay between the atomic-scale chemistry and the strain rate in affecting the deformation response of Zr-based BMGs. Of special interest are the shear transformation zone nucleation in the elastic regime and the shear band propagation in the plastic regime of BMGs.
This work led so far to several high impact publications: for the first time nanobeam diffraction (NBD) orientation mapping was used on atom probe tips, thereby enabling the high throughput characterization of grain boundary segregation as well as the crystallographic identification of phases.