Zhang, J.; Raabe, D.; Lai, M.; Yan, D.; Tasan, C. C.: Site-preferential recrystallization and nano-precipitation to achieve improved mechanical properties. MRS Fall Meeting 2016, Boston, MA, USA (2016)
Haghighat, S. M. H.; Reed, R. C.; Raabe, D.: Modeling of dislocation mechanisms and the influence of the γ/γ´lattice misfit on the dislocation assisted creep of high temperature Ni-base superalloys. 7th International Conference on Multiscale Materials Modeling , Berkeley, CA, USA (2014)
Belde, M. M.; Springer, H.; Inden, G.; Raabe, D.: Tailoring multi-phase steel microstructures by controlling local chemical gradients. MSE 2014, Darmstadt, Germany (2014)
Neddermann, P.; Ponge, D.; Raabe, D.: Influence of Chromium on the Low Temperature Austenite Reversion through Local Equilibrium in Martensitic Stainless Steel. MSE 2014, Darmstadt, Germany (2014)
Nellessen, J.; Sandlöbes, S.; Raabe, D.: Systematic Investigation of the Influence of Strain Amplitude, Orientation and Cycle Number on the Dislocation Structures Formed during Low Cycle Fatigue. MSE 2014, Darmstadt, Germany (2014)
Koprek, A.; Cojocaru-Mirédin, O.; Freysoldt, C.; Würz, R.; Raabe, D.: Atomic scale investigation of the p-n Junction in CIGS based solar cells: correlation between cell efficiency and impurities. E-MRS 2014, Lille, France (2014)
Archie, F. M. F.; Zaefferer, S.; Raabe, D.: The influence of grain boundary character on dislocation densities and fracture toughness in AHSS. M2i Conference "High Tech Materials: your world - our business", Sint Michielgestel, The Netherlands (2014)
Diehl, M.; Shanthraj, P.; Roters, F.; Raabe, D.: From Crystal Plasticity to Forming Simulations: The "Virtual Laboratory". M2i Conference "High Tech Materials: your world - our business", Sint Michielgestel, The Netherlands (2014)
Diehl, M.; Yan, D.; Tasan, C. C.; Shanthraj, P.; Roters, F.; Raabe, D.: Stress and Strain Partitioning in Multiphase Alloys: An Integrated Experimental-Numerical Analysis. Winter School 2014, Research Training Group 1483,
Karlsruher Intitut f. Technologie (KIT), Karlsruhe, Germany (2014)
Djaziri, S.; Li, Y.; Goto, S.; Kirchlechner, C.; Raabe, D.; Dehm, G.: Microstructural characterization of cold-drawn pearlitic steel wires at the nanometer scale. The Thin Film & Small Scale Mechanical Behavior Gordon Research Conference, Waltham, MA, USA (2014)
Lai, M.; Tasan, C. C.; Zhang, J.; Grabowski, B.; Huang, L.; Springer, H.; Raabe, D.: ω phase accommodated nano-twinning mechanism in Gum Metal: An ab initio study. 3rd International Workshop on Physics Based Material Models and Experimental Observations: Plasticity and Creep, Cesme/Izmir, Turkey (2014)
Yan, D.; Tasan, C. C.; Raabe, D.: Graded, ultrafine-grained, ferrite/martensite dual phase steel: a case study for damage-resistant microstructure design. Physics based materials models and experimental observations, Cesme Turkey (2014)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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) 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.
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…