van Bohemen, S. M. C.; Morsdorf, L.: Predicting the Ms temperature of steels with a thermodynamic based model including the effect of the prior austenite grain size. Acta Materialia 125, pp. 401 - 415 (2017)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.