Tasan, C. C.; Diehl, M.; Yan, D.; Raabe, D.: Coupled high-resolution experiments and crystal plasticity simulations to analyze stress and strain partitioning in multi-phase alloys. TMS2015, Orlando, FL, USA (2015)
Diehl, M.; Shanthraj, P.; Roters, F.; Tasan, C. C.; Raabe, D.: A Virtual Laboratory to Derive Mechanical Properties. M2i Conference "High Tech Materials: your world - our business"
, Sint Michielgestel, The Netherlands (2014)
Roters, F.; Diehl, M.; Shanthraj, P.; Zambaldi, C.; Tasan, C. C.; Yan, D.; Raabe, D.: Simulation analysis of stress and strain partitioning in dual phase steel based on real microstructures. MMM2014, 7th International Conference on Multiscale
Materials Modeling
, Berkeley, CA, USA (2014)
Tasan, C. C.; Diehl, M.; Yan, D.; Zambaldi, C.; Shanthraj, P.; Roters, F.; Raabe, D.: Integrated experimental and simulation analysis of stress and strain partitioning in dual phase steel. IUTAM Symposium on Connecting Multiscale Mechanics to Complex Material Design, Evanston, IL, USA (2014)
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
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…