Gutiérrez-Urrutia, I.; Raabe, D.: Multistage strain hardening through dislocation substructure and twinning in a high strength and ductile weight-reduced Fe–Mn–Al–C steel. Acta Materialia 60 (16), pp. 5791 - 5802 (2012)
Szczepaniak, A.; Fan, J.; Kostka, A.; Raabe, D.: On the Correlation Between Thermal Cycle and Formation of Intermetallic Phases at the Interface of Laser-Welded Aluminum-Steel Overlap Joints. Advanced Engineering Materials 14 (7), pp. 464 - 472 (2012)
Cédat, D.; Fandeur, O.; Rey, C.; Raabe, D.: Polycrystal model of the mechanical behavior of a Mo–TiC30 vol.% metal–ceramic composite using a three-dimensional microstructure map obtained by dual beam focused ion beam scanning electron microscopy. Acta Materialia 60 (4), pp. 1623 - 1632 (2012)
Tytko, D.; Choi, P.-P.; Klöwer, J.; Inden, G.; Raabe, D.: Microstructural evolution of a Ni-based superalloy (617B) at 700 °C studied by electron microscopy and atom probe tomography. Acta Materialia 60 (4), pp. 1731 - 1740 (2012)
Calcagnotto, M.; Ponge, D.; Raabe, D.: On the Effect of Manganese on Grain Size Stability and Hardenability in Ultrafine-Grained Ferrite/Martensite Dual-Phase Steels. Metallurgical and Materials Transactions A 43A, pp. 37 - 46 (2012)
Fabritius, H.; Karsten, E. S.; Balasundaram, K.; Hild, S.; Huemer, K.; Raabe, D.: Correlation of structure, composition and local mechanical properties in the dorsal carapace of the edible crab Cancer pagurus. 11, pp. 766 - 776 (2012)
Gutierrez-Urrutia, I.; Raabe, D.: Study of deformation twinning and planar slip in a TWIP steel by Electron Channeling Contrast Imaging in a SEM. Materials Science Forum 702 - 703, pp. 523 - 529 (2012)
Gutierrez-Urrutia, I.; Raabe, D.: Dislocation density measurement by electron channeling contrast imaging in a scanning electron microscope. Scripta Materialia 66, pp. 343 - 346 (2012)
Gutiérrez-Urrutia, I.; Raabe, D.: New insights on quantitative microstructure characterization by electron channeling contrast imaging under controlled diffraction conditions in SEM. Microscopy and Microanalysis 18 (2), pp. 686 - 687 (2012)
He, D.; Zhu, J. C.; Zaefferer, S.; Raabe, D.; Liu, Y.; Lai, Z. L.; Yang, X. W.: Influences of deformation strain, strain rate and cooling rate on the Burgers orientation relationship and variants morphology during beta -> alpha phase transformation in a near alpha titanium alloy. Materials Science and Engineering A 549, pp. 20 - 29 (2012)
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…
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…
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…
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…
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…