Ta, N.; Bilal, M. U.; Häusler, I.; Saxena, A.; Lin, Y.-Y.; Schleifer, F.; Fleck, M.; Glatzel, U.; Skrotzki, B.; Kamachali, R. D.: Simulation of the θ’ precipitation process with interfacial anisotropy effects in Al–Cu alloys. Materials 14 (5), 1280 (2021)
Ma, S.; Xing, F.; Ta, N.; Zhang, L.: Kinetic modeling of high-temperature oxidation of pure Mg. Journal of Magnesium and Alloys 8 (3), pp. 819 - 831 (2020)
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.