Raabe, D.: Recrystallization Models for the Prediction of Crystallographic Textures with Respect to Process Simulation. The Journal of Strain Analysis for Engineering Design 42 (4), pp. 253 - 268 (2007)
Raabe, D.; Al-Sawalmih, A.; Yi, S. B.; Fabritius, H.: Preferred crystallographic texture of α-chitin as a microscopic and macroscopic design principle of the exoskeleton of the lobster Homarus americanus. Acta Biomaterialia 3, pp. 882 - 895 (2007)
Sandim, H. R. Z.; Bernardi, H. H.; Verlinden, B.; Raabe, D.: Equal channel angular extrusion of niobium single crystals. Materials Science and Engineering: A 467, pp. 44 - 52 (2007)
Takahashi, T.; Ponge, D.; Raabe, D.: Investigation of orientation gradients in pearlite in hypoeutectoid steel by use of orientation imaging microscopy. Steel Research International 78 (1), pp. 38 - 44 (2007)
Tikhovskiy, I.; Raabe, D.; Roters, F.: Simulation of earing during deep drawing of an Al-3%Mg alloy (AA 5754) using a texture component crystal plasticity FEM. Journal of Materials Processing Technology 183, pp. 169 - 175 (2007)
Winning, M.; Raabe, D.; Brahme, A.: A texture component model for predicting recrystallization textures. Materials Science Forum 558 / 559, pp. 1035 - 1042 (2007)
Zambaldi, C.; Roters, F.; Raabe, D.; Glatzel, U.: Modeling and experiments on the indentation deformation and recrystallization of a single‑crystal nickel-base superalloy. Materials Science and Engineering A 454–455, pp. 433 - 440 (2007)
Liu, W. C.; Li, Z.; Man, C.-S.; Raabe, D.; Morris, J. G.: Effect of precipitation on rolling texture evolution in continuous cast AA 3105 aluminum alloy. Materials Science and Engineering: A 434 (1-2), pp. 105 - 113 (2006)
Han, C. S.; Roters, F.; Raabe, D.: On strain gradients and size-dependent hardening descriptions in crystal plasticity frameworks. Metals and Materials International 12, 5, pp. 407 - 411 (2006)
Dorner, D.; Zaefferer, S.; Lahn, L.; Raabe, D.: Overview of Microstructure and Microtexture Development in Grain-oriented Silicon Steel. Journal of Magnetism and Magnetic Materials 304 (2), pp. 183 - 186 (2006)
Li, F.; Ardehali Barani, A.; Ponge, D.; Raabe, D.: Austenite Grain Coarsening Behavior in a Medium Carbon Si–Cr spring steel with and without Vanadium. Steel Research International 77 (8), pp. 590 - 594 (2006)
Raabe, D.; Jia, J.: Evolution of crystallinity and of crystallographic orientation in isotactic polypropylene during rolling and heat treatment. European Polymer Journal 42 (8), pp. 1755 - 1766 (2006)
Sachs, C.; Fabritius, H.; Raabe, D.: Hardness and elastic properties of dehydrated cuticle from the lobster Homarus americanus obtained by nanoindentation. Journal of Material Research 21 (8), pp. 1987 - 1995 (2006)
Nikolov, S.; Lebensohn, R. A.; Raabe, D.: Self-consistent modeling of large plastic deformation, texture and morphology evolution in semi-crystalline polymers. Journal of the Mechanics and Physics of Solids 54 (7), pp. 1350 - 1375 (2006)
Ardehali Barani, A.; Ponge, D.; Raabe, D.: Refinement of grain boundary carbides in a Si–Cr spring steel by thermomechanical treatment. Materials Science and Engineering: A 426 (1-2), pp. 194 - 201 (2006)
Godara, A.; Raabe, D.; Van Puyvelde, P.; Moldenaers, P.: Influence of flow on the global crystallization kinetics of iso-tactic polypropylene. Polymer Testing 25 (4), pp. 460 - 469 (2006)
Ma, A.; Roters, F.; Raabe, D.: On the consideration of interactions between dislocations and grain boundaries in crystal plasticity finite element modeling – Theory, experiments, and simulations. Acta Materialia 54 (8), pp. 2181 - 2194 (2006)
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
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
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…
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…
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…