Springer, H.; Tasan, C. C.; Raabe, D.: A novel roll-bonding methodology for the cross-scale analysis of phase properties and interactions in multiphase structural materials. International Journal of Materials Research 106 (1), pp. 3 - 14 (2015)
Tasan, C. C.; Hoefnagels, J. P.M.; Diehl, M.; Yan, D.; Roters, F.; Raabe, D.: Strain localization and damage in dual phase steels investigated by coupled in-situ deformation experiments and crystal plasticity simulations. International Journal of Plasticity 63, pp. 198 - 210 (2014)
Wang, M.; Tasan, C. C.; Ponge, D.; Kostka, A.; Raabe, D.: Smaller is less stable: Size effects on twinning vs. transformation of reverted austenite in TRIP-maraging steels. Acta Materialia 79, pp. 268 - 281 (2014)
Yao, M.; Pradeep, K. G.; Tasan, C. C.; Raabe, D.: A novel, single phase, non-equiatomic FeMnNiCoCr high-entropy alloy with exceptional phase stability and tensile ductility. Scripta Materialia 72–73, pp. 5 - 8 (2014)
Tasan, C. C.; Hoefnagels, J. P. M.; Dekkers, E. C. A.; Geers, M. G. D.: Multi-Axial Deformation Setup for Microscopic Testing of Sheet Metal to Fracture. Experimental Mechanics 52 (7), pp. 669 - 678 (2012)
Tasan, C. C.; Hoefnagels, J. P. M.; Geers, M.G. D.: Identification of the continuum damage parameter: An experimental challenge in modeling damage evolution. Acta Materialia 60 (8), pp. 3581 - 3589 (2012)
Tasan, C. C.; Hoefnagels, J. P. M.; Geers, M. G. D.: A micropillar compression methodology for ductile damage quantification. Metallurgical and Materials Transactions A 43 (3), pp. 796 - 801 (2012)
Tasan, C. C.; Hoefnagels, J.P.M.; Geers, M.G.D.: Microstructural Banding Effects Clarified Through Micrographic Digital Image Correlation. Scripta Materialia 62 (11), pp. 835 - 838 (2010)
Tasan, C. C.; Hoefnagels, J.P.M.; Geers, M.G.D.: A brittle-fracture methodology for three-dimensional visualization of ductile deformation micromechanisms. Scripta Materialia 61 (1), pp. 20 - 23 (2009)
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
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.