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
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.