Kobayashi, S.; Zaefferer, S.; Schneider, A.; Raabe, D.; Frommeyer, G.: Slip system determination by rolling texture measurements around the strength peak temperature in a Fe3Al-based alloy. Materials Science and Engineering A 387–389, pp. 950 - 954 (2004)
Ma, A.; Roters, F.; Raabe, D.: Numerical study of textures and Lankford values for FCC polycrystals by use of a modified Taylor model. Computational Materials Science 29, 3, pp. 259 - 395 (2004)
Raabe, D.: Overview on the Lattice Boltzmann Method for Nano- and Microscale Fluid Dynamics in Materials Science and Engineering. Modelling and Simulation in Materials Science and Engineering 12, pp. R13 - R46 (2004)
Raabe, D.; Ge, J.: Experimental study on the thermal stability of Cr filaments in a Cu–Cr–Ag in situ composite. Scripta Materialia 51, pp. 915 - 920 (2004)
Raabe, D.; Roters, F.: Using texture components in crystal plasticity finite element simulations. International Journal of Plasticity 20, pp. 339 - 361 (2004)
Sandim, H. R. Z.; Sandim, M. J. R.; Bernardi, H. H.; Lins, J. F. C.; Raabe, D.: Annealing effects on the microstructure and texture of a multifilamentary Cu–Nb composite wire. Scripta Materialia 51, pp. 1099 - 1104 (2004)
Lima, E. B. F.; Pyzalla, A. R.; Reimers, W.; Kuo, J.-C.; Raabe, D.: Mosaic Size Distributions in an Aluminum Bi-crystal Deformed by Channel Die Plane Strain Compression. Journal of Neutron Research 11 (4), pp. 209 - 214 (2003)
Zaefferer, S.; Kuo, J. C.; Zhao, Z.; Winning, M.; Raabe, D.: On the influence of the grain boundary misorientation on the plastic deformation of aluminum bicrystals. Acta Materialia 51, pp. 4719 - 4735 (2003)
Raabe, D.: Don’t trust your simulation - Computational materials science on its way to maturity? Advanced Engineering Materials 4 (5), pp. 255 - 267 (2002)
Raabe, D.; Zhao, Z.; Park, S. J.; Roters, F.: Theory of orientation gradients in plastically strained crystals. Acta Materialia 50 (2), pp. 421 - 440 (2002)
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
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…
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…