Sandim, M. J. R.; Tytko, D.; Kostka, A.; Choi, P.; Awaji, S.; Watanabe, K.; Raabe, D.: Grain boundary segregation in a bronze-route Nb3Sn superconducting wire studied by atom probe tomography. Superconductor Science and Technology 26, pp. 055008-1 - 055008-7 (2013)
Siboni, N. H.; Raabe, D.; Varnik, F.: Maintaining the equipartition theorem in small heterogeneous molecular dynamics ensembles. Physical Review E 87 (3), pp. 030101-1 - 030101-4 (2013)
Nematollahi, A.; von Pezold, J.; Neugebauer, J.; Raabe, D.: Thermodynamics of carbon solubility in ferrite and vacancy formation in cementite in strained pearlite. Acta Materialia 61 (5), pp. 1773 - 1784 (2013)
Seol, J.-B.; Raabe, D.; Choi, P.; Park, H. S.; Kwak, J. H.; Park, C. G.: Direct evidence for the formation of ordered carbides in a ferrite based low-density Fe–Mn–Al–C alloy studied by transmission electron microscopy and atom probe tomography. Scripta Materialia 68 (6), pp. 348 - 353 (2013)
Titrian, H.; Aydin, U.; Friák, M.; Ma, D.; Raabe, D.; Neugebauer, J.: Self-consistent scale-bridging approach to compute the elasticity of multi-phase polycrystalline materials. Materials Research Society Symposia Proceedings 1524, pp. 17 - 23 (2013)
Gutiérrez-Urrutia, I.; Raabe, D.: Influence of Al content and precipitation state on the mechanical behavior of austenitic high-Mn low-density steels. Scripta Materialia 68 (6), pp. 343 - 347 (2013)
Pinto de Siqueira, R.; Sandim, H. R. Z.; Raabe, D.: Particle Stimulated Nucleation in Coarse-Grained Ferritic Stainless Steel. Metallurgical and Materials Transactions A 44 (1), pp. 469 - 478 (2013)
Woldemedhin, M. T.; Raabe, D.; Hassel, A. W.: Characterization of thin anodic oxides of Ti–Nb alloys by electrochemical impedance spectroscopy. Electrochimica Acta 82, pp. 324 - 332 (2012)
Cojocaru-Mirédin, O.; Choi, P.; Wuerz, R.; Raabe, D.: Exploring the p-n junction region in Cu(In,Ga)Se2 thin-film solar cells at the nanometer-scale. Applied Physics Letters 101 (18), pp. 181603-1 - 181603-5 (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
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
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…
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…
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…