Yao, Y.; Euesden, R.; Curd, M. E.; Liu, C.; Garner, A.; Burnett, T. L.; Shanthraj, P.; Prangnell, P.: Effect of cooling rate on the composition and chemical heterogeneity of quench-induced grain boundary e-phase precipitates in 7xxx aluminium alloys. Acta Materialia 262, 119443 (2024)
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.