Gutiérrez-Urrutia, I.; Raabe, D.: High performance lightweight steels. 8th Pacific Rim International Congress on Advanced Materials and Processing (PRICM-8), Waikoloa, Hawai, USA (2013)
Gutiérrez-Urrutia, I.; Seol, J.-B.; Marceau, R. K. W.; Choi, P.; Raabe, D.: Multi-scale characterization of advanced structural steels: from the micro to the atomic-scale. 8th Pacific Rim International Congress on Advanced Materials and Processing (PRICM-8), Waikoloa, Hawai, USA (2013)
Herbig, M.; Choi, P.; Raabe, D.: Combining Structural and Chemical Information on the nm Scale by Correlative TEM and APT Characterization. Microscopy and Microanalysis 2013, Indianapolis, IN, USA (2013)
Li, Y. J.; Choi, P.; Herbig, M.; Kostka, A.; Goto, S.; Borchers, C.; Raabe, D.; Kirchheim, R.: Atomic Scale Understanding of 6.8 GPa Ultra-high Strength Pearlite. 8th Pacific Rim International Congress on Advanced Materials and Processing (PRICM-8), Waikoloa, HI, USA (2013)
Diehl, M.; Yan, D.; Tasan, C. C.; Shanthraj, P.; Eisenlohr, P.; Roters, F.; Raabe, D.: Stress-strain partitioning in martensitic-ferritic steels analyzed by integrated full-field crystal plasticity simulations and high resolution in situ experiments. GDRi CNRS MECANO General Meeting on the Mechanics of Nano-Objects, MPIE, Düsseldorf, Germany (2013)
Yan, D.; Tasan, C. C.; Raabe, D.: Coupled high resolution strain and microstructure mapping based on digital image correlation and electron backscatter diffraction. IMPRS-SurMat Seminar, Meschede, Germany (2013)
Raabe, D.; Choi, P.; Herbig, M.; Li, Y.; Zaefferer, S.; Kirchheim, R.: Iron – Mythology and High Tech: From Electronic Understanding to Bulk Nanostructuring of 1 Billion Tons. Summer School 2013 on Functional Solids – FERRUM - organized by Leibniz University Hannover, Goslar, Germany (2013)
Roters, F.; Eisenlohr, P.; Diehl, M.; Shanthraj, P.; Kords, C.; Raabe, D.: The general crystal plasticity framework 'DAMASK'. Institutsseminar, Institute of Materials Simulation, Department of Materials Science, University of Erlangen-Nürnberg, Fürth, Germany (2013)
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…