Zheng, C.; Raabe, D.; Li, D.: Prediction of post-dynamic austenite-to-ferrite transformation and reverse transformation in a low-carbon steel by cellular automaton modeling. Acta Materialia 60, pp. 4768 - 4779 (2012)
Calcagnotto, M.; Adachi, Y.; Ponge, D.; Raabe, D.: Deformation and fracture mechanisms in fine- and ultrafine-grained ferrite/martensite dual-phase steels and the effect of aging. Acta Materialia 59 (2), pp. 658 - 670 (2011)
Raabe, D.: Lightweight automotive construction (1): Steel research ensures Competitiveness of the Industry. Application-oriented basic research, prepares the way of the lightweight Automobile. Stahl und Eisen 131 (10), pp. 88 - 90 (2011)
Kundin, J.; Raabe, D.; Emmerich, H.: A phase-field model for incoherent martensitic transformations including plastic accommodation processes in the austenite. Journal of the Mechanics and Physics of Solids 59 (10), pp. 2082 - 2102 (2011)
Woldemedhin, M. T.; Raabe, D.; Hassel, A. W.: Grain boundary electrochemistry of beta-type Nb–Ti alloy using a scanning droplet cell. Physica Status Solidi A-Applications and Materials Science 208 (6), pp. 1246 - 1251 (2011)
Ayodele, S. G.; Varnik, F.; Raabe, D.: Lattice Boltzmann study of pattern formation in reaction-diffusion systems. Physical Review E 83 (016702), pp. 016702-1 - 016702-14 (2011)
Choi, P.; Cojocaru-Mirédin, O.; Würz, R.; Raabe, D.: Comparative atom probe study of Cu(In,Ga)Se2 thin-film solar cells deposited on soda-lime glass and mild steel substrates. Journal of Applied Physics 110 (12), 124513 (7pp) (2011)
Cojocaru-Mirédin, O.; Choi, P.; Abou-Ras, D.; Schmidt, S. S.; Caballero, R.; Raabe, D.: Characterization of grain boundaries in Cu(In,Ga)Se2 films using atom probe tomography. Journal of Photovoltaics 1, pp. 207 - 212 (2011)
Cojocaru-Mirédin, O.; Choi, P.; Wuerz, R.; Raabe, D.: Atomic-scale distribution of impurities in CuInSe2-based thin-film solar cells. Ultramicroscopy 111 (6), pp. 552 - 556 (2011)
Dmitrieva, O.; Ponge, D.; Inden, G.; Millán, J.; Choi, P.; Sietsma, J.; Raabe, D.: Chemical gradients across phase boundaries between martensite and austenite in steel studied by atom probe tomography and simulation. Acta Materialia 59 (1), pp. 364 - 374 (2011)
Gutierrez-Urrutia, I.; Raabe, D.: Dislocation and twin substructure evolution during strain hardening of an Fe–22 wt.% Mn–0.6 wt.% C TWIP steel observed by electron channeling contrast imaging. Acta Materialia 59 (16), pp. 6449 - 6462 (2011)
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…