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)
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
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…