Gross, M.; Varnik, F.; Raabe, D.: Fall and rise of small droplets on rough hydrophobic substrates. Europhysics Letters 88 (26002), pp. 26002-p1 - 26002-p6 (2009)
Gutierrez-Urrutia, I.; Zaefferer, S.; Raabe, D.: Electron channeling contrast imaging of twins and dislocations in twinning-induced plasticity steels under controlled diffraction conditions in a scanning electron microscope. Scripta Materialia 61, pp. 737 - 740 (2009)
Raabe, D.; Ohsaki, S.; Hono, K.: Mechanical alloying and amorphization in Cu–Nb–Ag in situ composite wires studied by transmission electron microscopy and atom probe tomography. Acta Materialia 57, pp. 5254 - 5263 (2009)
Sun, D. K.; Zhu, M. F.; Pan, S. Y.; Raabe, D.: Numerical Modeling of dendritic growth in alloy solidification with forced convection. International Journal of Modern Physics B 23, pp. 1609 - 1614 (2009)
Verbeken, K.; Barbé, L.; Raabe, D.: Evaluation of the Crystallographic Orientation Relationships between FCC and BCC phases in TRIP Steels. ISIJ International 49 (10), pp. 1601 - 1609 (2009)
Verbeken, K.; van Caenegem, N.; Raabe, D.: Identification of ε-martensite in Fe-based shape memory alloy by means of EBSD. Micron 40, 1, pp. 151 - 156 (2009)
Winning, M.; Brahme, A.; Raabe, D.: Prediction of cold rolling textures of steels using an artificial neural network. Computational Materials Science 46, pp. 800 - 804 (2009)
Ma, D.; Friák, M.; Neugebauer, J.; Raabe, D.; Roters, F.: Multiscale simulation of polycrystal mechanics of textured β-Ti alloys using ab initio and crystal-based finite element methods. Physica Status Solidi B 245 (12), pp. 2642 - 2648 (2008)
Friák, M.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Error-propagation in multiscale approaches to the elasticity of polycrystals. Physica Status Solidi (B) 245, pp. 2636 - 2641 (2008)
Al-Sawalmih, A.; Li, C.; Siegel, S.; Fabritius, H.; Yi, S. B.; Raabe, D.; Fratzl, P.; Paris, O.: Microtexture and Chitin/Calcite Orientation Relationship in the Mineralized Exoskeleton of the American Lobster. Advanced Functional Materials 18 (20), pp. 3307 - 3314 (2008)
Nikolov, S.; Raabe, D.: Hierarchical Modeling of the Elastistic Properties of Bone at Submicron Scales: The Role of Extrafibrillar Mineralization. Biophysical Journal 94, pp. 4220 - 4232 (2008)
Bastos, A.; Zaefferer, S.; Raabe, D.: Three-dimensional EBSD study on the relationship between triple junctions and columnar grains in electrodeposited Co–Ni films. Journal of Microscopy 230, pp. 487 - 498 (2008)
Cao, Y. P.; Xue, Z. Y.; Chen, X.; Raabe, D.: Correlation between the flow stress and the nominal indentation hardness of soft metals. Scripta Materialia 59, pp. 518 - 521 (2008)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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.