Gutiérrez-Urrutia, I.; Raabe, D.: High strength and ductile low density austenitic FeMnAlC steels: Simplex and alloys strengthened by nanoscale ordered carbides. Materials Science and Technology 30 (9), pp. 1099 - 1104 (2014)
Mandal, S.; Pradeep, K. G.; Zaefferer, S.; Raabe, D.: A novel approach to measure grain boundary segregation in bulk polycrystalline materials in dependence of the boundaries’ five rotational degrees of freedom. Scripta Materialia 81, pp. 16 - 19 (2014)
Reuber, J. C.; Eisenlohr, P.; Roters, F.; Raabe, D.: Dislocation density distribution around an indent in single-crystalline nickel: Comparing nonlocal crystal plasticity finite-element predictions with experiments. Acta Materialia 71, pp. 333 - 348 (2014)
Pierce, D. T.; Jiménez, J. A.; Bentley, J.; Raabe, D.: The influence of manganese content on the stacking fault and austenite/epsilon-martensite interfacial energies in Fe–Mn–(Al–Si) steels investigated by experiment and theory. Acta Materialia 68, pp. 238 - 253 (2014)
Pradeep, K. G.; Herzer, G.; Choi, P.; Raabe, D.: Atom probe tomography study of ultrahigh nanocrystallization rates in FeSiNbBCu soft magnetic amorphous alloys on rapid annealing. Acta Materialia 68, pp. 295 - 309 (2014)
He, D.; Zhu, J.; Zaefferer, S.; Raabe, D.: Effect of retained beta layer on slip transmission in Ti–6Al–2Zr–1Mo–1V near alpha titanium alloy during tensile deformation at room temperature. Materials and Design 56, pp. 937 - 942 (2014)
Zhu, M.; Sun, D.; Pan, S.; Zhang, Q.; Raabe, D.: Modelling of dendritic growth during alloy solidification under natural convection. Modelling and Simulation in Materials Science and Engineering 22 (3), 034006 (2014)
Koyama, M.; Springer, H.; Merzlikin, S. V.; Tsuzaki, K.; Akiyama, E.; Raabe, D.: Hydrogen embrittlement associated with strain localization in a precipitation-hardened Fe–Mn–Al–C light weight austenitic steel. International Journal of Hydrogen Energy 39 (9), pp. 4634 - 4646 (2014)
Wen, Y.; Peng, H.; Si, H.; Xiong, R.; Raabe, D.: A novel high manganese austenitic steel with higher work hardening capacity and much lower impact deformation than Hadfield manganese steel. Materials and Design 55, pp. 798 - 804 (2014)
Toji, Y.; Matsuda, H.; Herbig, M.; Choi, P.; Raabe, D.: Atomic-scale analysis of carbon partitioning between martensite and austenite by atom probe tomography and correlative transmission electron microscopy. Acta Materialia 65, pp. 215 - 228 (2014)
Haghighat, S. M. H.; Schäublin, R. E.; Raabe, D.: Atomistic simulation of the a0 <1 0 0> binary junction formation and its unzipping in body-centered cubic iron. Acta Materialia 64, pp. 24 - 32 (2014)
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…
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…
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…
Electron microscopes offer unique capabilities to probe materials with extremely high spatial resolution. Recent advancements in in situ platforms and electron detectors have opened novel pathways to explore local properties and the dynamic behaviour of materials.