Herbig, M.; Marceau, R. K. W.; Morsdorf, L.; Raabe, D.: Spinodal Decomposition of Fe–Ni–C Martensite by Room Temperature Redistribution of Carbon Investigated by Correlative ECCI/TEM/APT. PTM 2015, Whistler, BC, Canada (2015)
Gutiérrez-Urrutia, I.; Seol, J.-B.; Marceau, R. K. W.; Choi, P.; Raabe, D.: Multi-scale characterization of advanced structural steels: from the micro to the atomic-scale. 8th Pacific Rim International Congress on Advanced Materials and Processing (PRICM-8), Waikoloa, Hawai, USA (2013)
Gutiérrez-Urrutia, I.; Marceau, R. K. W.; Raabe, D.: Multi-scale investigation of strain-hardening mechanisms in high-Mn steels from the mesoscale to the atomic scale. Lecture at Materials Department, Oxford University, Oxford, UK (2012)
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.