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)
Counts, W. A.; Friak, M.; Battaile, C. C.; Raabe, D.; Neugebauer, J.: A comparison of polycrystalline elastic constants computed by analytic homogenization schemes and FEM. Physica Status Solidi B 245, pp. 2630 - 2635 (2008)
Frommert, M.; Zobrist, C.; Lahn, L.; Böttcher, A.; Raabe, D.; Zaefferer, S.: Texture measurement of grain-oriented electrical steels after secondary recrystallization. Journal of Magnetism and Magnetic Materials 320, pp. e657 - e660 (2008)
Godara, A.; Raabe, D.: Microstrain localisation measurement in epoxy FRCs during plastic deformation using a digital image correlation technique coupled with scanning electron microscopy. Nondestructive Testing and Evaluation 3, pp. 229 - 240 (2008)
Herrera, C.; Ponge, D.; Raabe, D.: Characterization of the microstrcture, crystallographic texture and segregation of an as-cast duplex stainless steel slab. Steel Research International 79 (6), pp. 482 - 488 (2008)
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…
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…
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…