Zambaldi, C.; Roters, F.; Raabe, D.: Crystal plasticity modeling and experiments to improve the micromechanical understanding of single crystal gamma-TiAl and gamma-TiAl based microstructures. MMM 2010 Fifth International Conference Multiscale Materials Modeling, Freiburg, Germany (2010)
Zambaldi, C.; Roters, F.; Zaefferer, S.; Raabe, D.: Surface Topographies after Nanoindentation and their Utilization to Quantify the Plastic Anisotropy of Gamma-TiAl on the Single Crystal Length Scale. Materials Science and Engineering MSE 2010, Darmstadt, Germany (2010)
Zambaldi, C.; Roters, F.; Raabe, D.: How nanoindentation experiments and continuum crystal plasticity simulation can efficiently complement TEM dislocation analysis. 2nd Newcastle Nanoindentation Conference, Newcastle upon Tyne, UK (2010)
Tjahjanto, D. D.; Roters, F.; Eisenlohr, P.: Prediction of material response in cup drawing using relaxed grain cluster (RGC) homogenization scheme. International Conference on Numerical Methods in Industrial Forming Process (NUMIFORM) 2010, Pohang, South Korea (2010)
Eisenlohr, P.; Kords, C.; Roters, F.; Raabe, D.: A non-local constitutitve hardening model based on polar dislocation densities. IV European Conf. Comp. Mech. ECCM 2010, Paris, France (2010)
Tjahjanto, D. D.; Eisenlohr, P.; Roters, F.: Computational method for simulating polycrystalline material response using relaxed grain cluster model. European Congress on Computational Mechanics (ECCM) 2010, Paris, France (2010)
Zambaldi, C.; Raabe, D.; Roters, F.: Quantifying the plastic anisotropy of gamma-TiAl by axisymmetric indentation. International TiAl Workshop, Birmingham, UK (2010)
Roters, F.; Tjahjanto, D. D.; Eisenlohr, P.; Raabe, D.: Homogenisierung von Mehrphasenwerkstoffen zur Simulation von Umformprozessen. 13. Workshop Simulation in der Umformtechnik, Modellierung von Verfestigungsmechanismen in der Blechumformung, Institut für Umformtechnik, Universität Stuttgart, Germany (2010)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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