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)
Raabe, D.; Sachs, C.; Romano, P.: The crustacean exoskeleton as an example of a structurally and mechanically graded biological nanocomposite material. Acta Materialia 53, pp. 4281 - 4292 (2005)
Raabe, D.; Wang, Y.; Roters, F.: Crystal plasticity simulation study on the influence of texture on earing in steel. Computational Materials Science 34, pp. 221 - 234 (2005)
Storojeva, L.; Ponge, D.; Raabe, D.; Kaspar, R.: On the influence of heavy warm reduction on the microstructure and mechanical properties of a medium-carbon ferritic steel. Zeitschrift für Metallkunde 95/12, pp. 1108 - 1114 (2004)
Storojeva, L.; Ponge, D.; Kaspar, R.; Raabe, D.: Development of Microstructure and Texture of Medium Carbon Steel during Heavy Warm Deformation. Acta Materialia 52/8, pp. 2209 - 2220 (2004)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
The field of micromechanics has seen a large progress in the past two decades, enabled by the development of instrumented nanoindentation. Consequently, diverse methodologies have been tested to extract fundamental properties of materials related to their plastic and elastic behaviour and fracture toughness. Established experimental protocols are…
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…