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.; Hu, J.; Han, Q.; Sun, B.; Wang, J.; Liu, C.: Microstructure diversity dominated by the interplay between primary intermetallics and eutectics for Al–Ce heat-resistant alloys. Journal of Alloys and Compounds 899, 162914 (2022)
He, J.; Wu, X.; Guo, Y.; Makineni, S. K.: On the compositional and structural redistribution during partial recrystallisation: a case of σ-phase precipitation in a Mo-doped NiCoCr medium-entropy alloy. Scripta Materialia 194, 113662 (2021)
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
This project targets to exploit or develop new methodologies to not only visualize the 3D morphology but also measure chemical distribution of as-synthesized nanostructures using atom probe tomography.