Guo, Y.; Jia, L.; He, J.; Zhang, S.; Li, Z.; Zhang, H.: Interplay between eutectic and dendritic growths dominated by Si content for Nb–Si–Ti alloys via rapid solidification. Journal of Manufacturing Science and Engineering, Transactions of the ASME 144 (6), 061007 (2022)
Guo, Y.; He, J.; Lu, W.; Jia, L.; Li, Z.: The evolution of compositional and microstructural heterogeneities in a TaMo0.5ZrTi1.5Al0.1Si0.2 high entropy alloy. Materials Characterization 172, 110836 (2021)
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.