Kuo, J. C.; Zaefferer, S.; Raabe, D.: Experimental investigation of the deformation behavior of aluminium-bicrystals. MPI für Eisenforschung GmbH, Düsseldorf, Germany (2004)
Ma, A.; Roters, F.; Raabe, D.: Simulation of textures and Lankford values for face centered cubic polycrystaline metals by using a modified Taylor model. (2004)
Raabe, D.: A 3D probabilistic cellular automaton for the simulation of recrystallization and grain growth phenomena. Max-Planck-Society, München, Germany (2004)
Raabe, D.; Bréchet, Y.; Gottstein, G.; de Hosson, J.; Van Houtte, P.; Vitek, V.: Recommendations for Future Basic Research on Metallic Alloys and Composites in the 6th EU Framework Program - Metals and composites: Basis for growth, safety, and ecology. (2004)
Raabe, D.; Pramono, A.: Report on copper–niob research at the Max-Planck-Institut, Düsseldorf – Simulations and experiments. MPI für Eisenforschung, Düsseldorf, Germany (2004)
Sachtleber, M.; Raabe, D.: Theoretische und experimentelle Untersuchung der Kornwechselwirkung in Aluminium. MPI für Eisenforschung GmbH, Düsseldorf, Germany (2004)
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
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
A high degree of configurational entropy is a key underlying assumption of many high entropy alloys (HEAs). However, for the vast majority of HEAs very little is known about the degree of short-range chemical order as well as potential decomposition. Recent studies for some prototypical face-centered cubic (fcc) HEAs such as CrCoNi showed that…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
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.