Yan, D.; Tasan, C. C.; Raabe, D.: High resolution strain mapping coupled with EBSD during in-situ tension in SEM. Interdisciplinary Center for Advanced materials Simulation (ICAMS), Ruhr-Universität Bochum, Bochum, Germany (2013)
Zhang, J.; Tasan, C. C.; Lai, M.; Springer, H.; Raabe, D.: Microstructural and Mechanical Characterization of Cold Work Effects in GUM Metal. 9th International Conference on Advances in Experimental Mechanics, Cardiff, UK (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)
Tasan, C. C.; Hoefnagels, J. P. M.; Raabe, D.: Quantative damage analysis & in-situ testing to investigate cut-edge failures in AHSS. Cut-edge behavior and damage resistance of AHSS, Maizières-lès-metz, France (2013)
Koyama, M.; Tasan, C. C.; Akiyama, E.; Tsuzaki, K.; Raabe, D.: Influence of hydrogen on dual-phase steel micro-mechanics. 2nd International Workshop on Physics-Based Modelling of Material Properties & Experimental Observations, Antalya, Turkey (2013)
Scharifi, E.; Tasan, C. C.; Hoefnagels, J. P. M.; Raabe, D.: Microstructural analysis of strain rate sensitivity of dual-phase steel. Materials Science Engineering (MSE) 2012, Darmstadt, Germany (2012)
Tasan, C. C.: Multi-scale (in-situ) investigation of Adaptive Structural Materials. École Seminar, Nationale Supérieure des Mines de St-Étienne, St-Etienne, France (2012)
Tasan, C. C.; Zaefferer, S.; Raabe, D.: In-situ investigations of small strain plasticity in dual-phase steel. 23rd International Congress of Theoretical and Applied Mechanics (ICTAM), Beijing, China (2012)
Moerman, J.; Romano, P.; Tasan, C. C.; van Liempt, P.: Evaluation of geometrically necessary dislocations density (GNDD) near phase boundaries in dual phase steels by means of EBSD. International Conference on the Textures of Materials, ICOTOM 16, Bombay, India (2011)
Zaefferer, S.; Jäpel, T.; Tasan, C. C.; Konijnenberg, P.: Detailed observation of martensite transformation and twinning in TRIP and TWIP steels using advanced SEM diffraction techniques. ICOMAT 2011, Osaka, Japan (2011)
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
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.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…