Haghighat, S. M. H.; Eggeler, G. F.; Raabe, D.: Mesoscale modelling of the influence of loading conditions on the dislocation mobility and creep process in single crystal Ni base superalloys. KTH Stockholm-Sweden, Stockholm, Sweden (2014)
Enax, J.; Fabritius, H.-O.; Roters, F.; Raabe, D.; Epple, M.: Synthetic dental composite materials inspired by the hierarchical organization of shark tooth enameloid. Third winter school within the DFG priority programme 1420 "Biomimetic Materials Research: Functionality by Hierarchical Structuring of Materials", Potsdam, Germany (2014)
Herbig, M.; Choi, P.; Raabe, D.: Atom Probe Tomography and Correlative TEM/APT at the MPIE. Inauguration of the Atom Probe at the Institute for Physics IA at the RWTH Aachen, Aachen, Germany (2014)
Herbig, M.; Raabe, D.; Li, Y.; Choi, P.; Zaefferer, S.; Goto, S.: High Throughput Quantification of Grain Boundary Segregation by Correlative TEM and APT. TMS 2014, Solid-State Interfaces III Symposium, San Diego, CA, USA (2014)
Zhang, J.; Tasan, C. C.; Lai, M.; Springer, H.; Raabe, D.: Influence of oxygen and cold deformation on the ω phase formation in gum metal. TMS 2014, San Diego, TX, USA (2014)
Gutiérrez-Urrutia, I.; Raabe, D.: Exploring nanotwinned structures in advanced high-Mn steels. International Symposium on Plasticity 2014, Freeport, BS, USA (2014)
Herbig, M.; Choi, P.-P.; Raabe, D.: Atom Probe Tomography and Correlative TEM/APT at the MPIE. Mini-Symposium Atom Probe Tomography, National APT Facility Eindhoven, TU Delft, Delft, The Netherlands (2014)
Herbig, M.; Raabe, D.; Li, Y.; Choi, P.-P.; Zaefferer, S.; Goto, S.: High Throughput Quantification of Grain Boundary Segregation by Correlative Transmission Electron Microscopy and Atom Probe Tomography. International Conference on Atom Probe Tomography & Microscopy 2014, Stuttgart, Germany (2014)
Konijnenberg, P. J.; Stechmann, G.; Zaefferer, S.; Raabe, D.: Advances in Analysis of 3D Orientation Data Sets Obtained by FIB-EBSD Tomography. 2nd International Congress on 3D Materials Science 2014, Annecy, France (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
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…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…