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)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.