Cao, Y. P.; Ma, D.; Raabe, D.: The use of flat punch indentation to determine the viscoelastic properties in the time and frequency domains of a soft layer bonded to a rigid substrate. Acta Biomaterialia 5 (1), pp. 240 - 248 (2009)
Counts, W. A.; Friák, M.; Raabe, D.; Neugebauer, J.: Using ab initio calculations in designing bcc Mg-Li alloys for ultra light-weight applications. Acta Materialia 57 (1), pp. 69 - 76 (2009)
Demir, E.; Raabe, D.; Zaafarani, N.; Zaefferer, S.: Investigation of the indentation size effect through the measurement of the geometrically necessary dislocations beneath small indents of different depths using EBSD tomography. Acta Materialia 57, pp. 559 - 569 (2009)
Eisenlohr, P.; Tjahjanto, D. D.; Hochrainer, T.; Roters, F.; Raabe, D.: Comparison of texture evolution in fcc metals predicted by various grain cluster homogenization schemes. International Journal of Materials Research 100 (4), pp. 500 - 509 (2009)
Fabritius, H.; Sachs, C.; Romano, P.; Raabe, D.: Influence of structural principles on the mechanics of a biological fiber-based composite material with hierarchical organization: The exoskeleton of the lobster Homarus americanus. Advanced Materials 21, pp. 391 - 400 (2009)
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)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
“Smaller is stronger” is well known in micromechanics, but the properties far from the quasi-static regime and the nominal temperatures remain unexplored. This research will bridge this gap on how materials behave under the extreme conditions of strain rate and temperature, to enhance fundamental understanding of their deformation mechanisms. The…
The Ni- and Co-based γ/γ’ superalloys are famous for their excellent high-temperature mechanical properties that result from their fine-scaled coherent microstructure of L12-ordered precipitates (γ’ phase) in an fcc solid solution matrix (γ phase). The only binary Co-based system showing this special type of microstructure is the Co-Ti system…
In this project, we employ atomistic computer simulations to study grain boundaries. Primarily, molecular dynamics simulations are used to explore their energetics and mobility in Cu- and Al-based systems in close collaboration with experimental works in the GB-CORRELATE project.
This project is a joint project of the De Magnete group and the Atom Probe Tomography group, and was initiated by MPIE’s participation in the CRC TR 270 HOMMAGE. We also benefit from additional collaborations with the “Machine-learning based data extraction from APT” project and the Defect Chemistry and Spectroscopy group.