Han, J.; Kang, S.-H.; Lee, S.-J.; Lee, Y.-K.: Fabrication of bimodal-grained Al-free medium Mn steel by double intercritical annealing and its tensile properties. Journal of Alloys and Compounds 681, pp. 580 - 588 (2016)
Jeon, H.; Lee, S.-M.; Han, J.; Park, I.; Lee, Y.-K.: The effect of Zn coating layers on the hydrogen embrittlement of hot-dip galvanized twinning-induced plasticity steel. Corrosion Science 111, pp. 267 - 274 (2016)
Park, J.; Han, J.; Lee, S.-J.; Yi, K.; Kwon, C.; Lee, Y.-K.: Inhomogeneity of Microstructure and Damping Capacity of a FC25 Disc-Brake Rotor and Their Interrelationship. Metallurgical and Materials Transactions A 47 (8), pp. 3933 - 3942 (2016)
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.