Kobayashi, S.; Zaefferer, S.; Schneider, A.; Raabe, D.; Frommeyer, G.: Slip system determination by rolling texture measurements around the strength peak temperature in a Fe3Al-based alloy. Intern. Conf. on Strength of Materials (ICSMA 13), Budapest, Hungary (2003)
Raabe, D.: Experimental and Theoretical Investigation of Grain Scale Plasticity. Colloquium lecture at the Department of Materials Science and Engineering of Northwestern University, Evanston, Chicago, USA (2002)
Raabe, D.; Helming, K.; Roters, F.; Zhao, Z.; Hirsch, J.: A Texture Component Crystal Plasticity Finite Element Method for Scalable Large Strain Anisotropy Simulations. ICOTOM 13, Seoul, South Korea (2002)
Raabe, D.: Modelling Applied to Aluminium Alloy Metallurgy. Keynote lecture at the 8th International Conference on Aluminium Alloys (ICAA-8), Cambridge, UK (2002)
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
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…