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)
Shanthraj, P.; Liu, C.; Akbarian, A.; Svendsen, B.; Raabe, D.: Multi-component chemo-mechanics based on transport relations for the chemical potential. Computer Methods in Applied Mechanics and Engineering 365, 113029 (2020)
Lahiri, A.; Shanthraj, P.; Roters, F.: Understanding the mechanisms of electroplasticity from a crystal plasticity perspective. Modelling and Simulation in Materials Science and Engineering 27, 085006 (2019)
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
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.