Sachs, C.; Fabritius, H.; Raabe, D.: Experimental investigation of the elastic-plastic deformation of mineralized lobster cuticle by digital image correlation. Journal of Structural Biology 155, pp. 409 - 425 (2006)
Sandim, H. R. Z.; Hayama, A. O. F.; Raabe, D.: Recrystallization of the ODS superalloy PM-1000. Materials Science and Engineering A 430, pp. 172 - 178 (2006)
Sandim, M. J. R.; Stamopoulos, D.; Sandim, H. R. Z.; Ghivelder, L.; Thilly, L.; Vidal, V.; Lecouturier, F.; Raabe, D.: Size effects on the magnetic properties of Cu-Nb nanofilamentary wires processed by severe plastic deformation. Superconducting Science and Technology 19, pp. 1233 - 1239 (2006)
Song, R.; Ponge, D.; Raabe, D.; Speer, J. G.; Matlock, D. K.: Overview of processing, microstructure and mechanical properties of ultrafine grained bcc steels. Materials Science and Engineering A 441, pp. 1 - 17 (2006)
Tikhovskiy, I.; Raabe, D.; Roters, F.: Simulation of the deformation texture of a 17%Cr ferritic stainless steel using the texture component crystal plasticity FE method considering texture gradients. Scripta Materialia 54, pp. 1537 - 1542 (2006)
Varnik, F.; Raabe, D.: Scaling effects in microscale fluid flows at rough solid surfaces. Modeling and Simulation in Materials Science and Engineering 14, pp. 857 - 873 (2006)
Liu, W. C.; Man, C.-S.; Raabe, D.; Morris, J. G.: Effect of hot and cold deformation on the recrystallization texture of continuous cast AA 5052 aluminum alloy. Scripta Materialia 53 (11), pp. 1273 - 1277 (2005)
Song, R.; Ponge, D.; Raabe, D.: Influence of Mn Content on the Microstructure and Mechanical Properties of Ultrafine Grained C–Mn Steels. ISIJ International 45/11, pp. 1721 - 1726 (2005)
Sandim, H. R. Z.; Raabe, D.: EBSD study of grain subdivision of a Goss grain in coarse-grained cold-rolled niobium. Scripta Materialia 53 (2), pp. 207 - 212 (2005)
Song, R.; Ponge, D.; Raabe, D.: Improvement of the work hardening rate of ultrafine grained steels through second phase particles. Scripta Materialia 52/11, pp. 1075 - 1080 (2005)
Song, R.; Ponge, D.; Raabe, D.; Kaspar, R.: Microstructure and crystallographic texture of an ultrafine grained C–Mn steel and their evolution during warm deformation and annealing. Acta Materialia 53 (3), pp. 845 - 858 (2005)
Bastos, A.; Raabe, D.; Zaefferer, S.; Schuh, C.: Characterization of Nanostructured Electrodeposited NiCo Samples by use of Electron Backscatter Diffraction (EBSD). Mater. Res. Soc. Sympos. Proc. 880E, BB1.3. (2005)
Godara, A.; Raabe, D.: Mesoscale simulation of the kinetics and topology of spherulite growth during crystallization of isotactic polypropylen (iPP) by using a cellular automaton. (2005)
Huh, M.-Y.; Lee, J.-H.; Park, S. H.; Engler, O.; Raabe, D.: Effect of Through-Thickness Macro and Micro-Texture Gradients on Ridging of 17%Cr Ferritic Stainless Steel Sheet. Steel Research Int. 76, 11, pp. 797 - 806 (2005)
Raabe, D.; Hantcherli, L.: 2D cellular automaton simulation of the recrystallization texture of an IF sheet steel under consideration of Zener pinning. Computational Materials Science 34, pp. 299 - 313 (2005)
Raabe, D.; Romano, P.; Al-Sawalmih, A.; Sachs, C.; Servos, G.; Hartwig, H. G.: Mesostructure of the Exoskeleton of the Lobster Homarus Americanus. Mater. Res. Soc. Sympos. Proc. 874, pp. 155 - 160 (2005)
Raabe, D.; Romano, P.; Sachs, C.; Al-Sawalmih, A.; Brokmeier, H. G.; Yi, S. B.; Servos, G.; Hartwig, H. G.: Discovery of a honeycomb structure in the twisted plywood patterns of fibrous biological nano-composite tissue. Journal of Crystal Growth 283, 1-2, pp. 1 - 7 (2005)
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
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…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
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.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…