Davydok, A.; Jaya, B. N.; Robach, O.; Ulrich, O.; Micha, J.-S.; Kirchlechner, C.: Analysis of the full stress tensor in a micropillar: Ability of and difficulties arising during synchrotron based μLaue diffraction. Materials and Design 108, pp. 68 - 75 (2016)
Fonović, M.; Leineweber, A.; Robach, O.; Jägle, E. A.; Mittemeijer, E. J.: The Nature and Origin of ‘‘Double Expanded Austenite’’ in Ni-Based Ni–Ti Alloys Developing Upon Low Temperature Gaseous Nitriding. Metallurgical and Materials Transactions a-Physical Metallurgy and Materials Science 46 (9), pp. 4115 - 4131 (2015)
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.