Nikolov, S.; Fabritius, H.-O.; Friák, M.; Raabe, D.: The Multiscale Modeling of Biomaterials as a Tool for Understanding the Design Principles in Nature. IVth National Crystallographic Symposium, Sofia, Bulgaria (2012)
Sandlöbes, S.; Friák, M.; Dick, A.; Zaefferer, S.; Pei, Z.; Zhu, L.-F.; Sha, G.; Ringer, S.; Neugebauer, J.; Raabe, D.: Combining ab initio calculations and high resolution experiments to improve the understanding of advanced Mg-Y and Mg-RE alloys. 7th Annual Conference of the ARC Centre of Excellence for Design in Light Metals, Melbourne, VIC, Australia (2012)
Konijnenberg, P. J.; Zaefferer, S.; Raabe, D.: Advanced analysis of 3D EBSD data obtained by FIB tomography. NVvM 2012 Materials Science Meeting, Eindhoven, The Netherlands (2012)
Cojocaru-Mirédin, O.; Schwarz, T.; Choi, P.; Würz, R.; Abou-Ras, D.; Dietrich, J.; Raabe, D.: Exploring the internal interfaces at the atomic-scale in Cu(In,Ga)Se2 thin-films solar cells. 1st EU APT Workshop, CEA/MINATEC, Grenoble, France (2012)
Haghighat, S. M. H.; Eggeler, G.; Raabe, D.: Primary creep of Ni base supealloys used in hot gas turbine blades. Alstom Company, Baden, Switzerland (2012)
Liu, B.; Raabe, D.; Roters, F.: Discrete Dislocation Dynamics Simulation of High Temperature Creep in Nickel-based Single Crystal Superalloys. MMM2012, 6th International Conference on Multiscale Materials Modeling, Singapore City, Singapore (2012)
Cojocaru-Mirédin, O.; Choi, P.; Würz, R.; Abou-Ras, D.; Raabe, D.: Study on internal interfaces in CIGS thin-films solar cells using atom probe tomography. 27th EU PVSEC, Frankfurt, Germany (2012)
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.; 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)
Haghighat, S. M. H.; Eggeler, G.; Raabe, D.: Dislocation dynamics modeling of the glide-climb mobility of a ½ a0<110>{111} dislocation in interaction with γ’ precipitate in Ni-based superalloy. 4th International Conference on Dislocations, Budapest, Hungary (2012)
Liu, B.; Raabe, D.; Hartley, C. S.: Influence of low angle grain boundary on free dislocation multiplication and dislocation structure evolution. 4th International Conference on Fundamental Properties of Dislocations, Budapest, Hungary (2012)
Gutiérrez-Urrutia, I.; Marceau, R. K. W.; Raabe, D.: Multi-scale investigation of strain-hardening mechanisms in high-Mn steels from the mesoscale to the atomic scale. Lecture at Materials Department, Oxford University, Oxford, UK (2012)
Khorashadizadeh, A.; Raabe, D.: Exploring the formation of different lamination configurations within the orientation space. 8th European Solid Mechanics Conference 2012, Graz, Austria (2012)
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.
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…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.