Raabe, D.; Sander, B.; Friák, M.; Ma, D.; Neugebauer, J.: Theory-guided bottom-up design of β-titanium alloys as biomaterials based on first principles calculations: Theory and experiments. Acta Materialia 55 (13), pp. 4475 - 4487 (2007)
Lins, J. F. C.; Sandim, H. R. Z.; Kestenbach, H. J.; Raabe, D.; Vecchio, K. S.: A microstructural investigation of adiabatic shear bands in an interstitial free steel. Materials Science and Engineering A 457 (1-2), pp. 205 - 218 (2007)
Romano, P.; Fabritius, H.; Raabe, D.: The exoskeleton of the lobster Homarus americanus as an example of a smart anisotropic biological material. Acta Biomaterialia 3 (3), pp. 301 - 309 (2007)
Godara, A.; Raabe, D.; Green, S.: The influence of sterilization processes on the micromechanical properties of carbon fiber reinforced PEEK composites for bone-implant applications. Acta Biomaterialia 3 (2), pp. 209 - 220 (2007)
Barani, A.; Li, F.; Romano, P.; Ponge, D.; Raabe, D.: Design of high-strength steels by microalloying and thermomechanical treatment. Special Issue Materials Science and Engineering A 463, pp. 138 - 146 (2007)
Dorner, D.; Zaefferer, S.; Raabe, D.: Retention of the Goss orientation between microbands during cold rolling of an Fe3%Si single crystal. Acta Materialia 55, pp. 2519 - 2530 (2007)
Han, C. S.; Ma, A.; Roters, F.; Raabe, D.: A Finite Element approach with patch projection for strain gradient plasticity formulations. International Journal of Plasticity 23, pp. 690 - 710 (2007)
Kobayashi, S.; Zaefferer, S.; Raabe, D.: Relative Importance of Nucleation vs. Growth for Recrystallisation in Particle-containing Fe3Al Alloys. Materials Science Forum 550, not specified, pp. 345 - 350 (2007)
Ma, A.; Roters, F.; Raabe, D.: A dislocation density based constitutive law for BCC materials in crystal plasticity FEM. Computational Materials Science 39, pp. 91 - 95 (2007)
Raabe, D.: A texture-component Avrami model for predicting recrystallization textures, kinetics and grain size. Modelling and Simulation in Materials Science and Engineering 15, pp. 39 - 63 (2007)
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)
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…