Zaefferer, S.; Shan, Y.; Madivala, M.: Nano-indentation and electron channeling contrast imaging (ECCI) to understand the interaction of hydrogen and dislocations in a high-Mn TWIP steel. Euromat 2019, Stockholm, Sweden (2019)
Zaefferer, S.; Shan, Y.; Madivala, M.: Combination of nano-indentation and electron channeling contrast imaging (ECCI) to understand the interaction of hydrogen and dislocations in a high-Mn TWIP steel. Nanobrücken 2018, Erlangen, Germany (2018)
Shan, Y.: Investigation on the Influence of Hydrogen on Dislocation Formation during Nanoindentation in TWIP Steels. Master, RWTH Aachen, Aachen, Germany (2018)
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…