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)
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)
If manganese nodules can be mined in an environmentally friendly way, the critical metals needed for the energy transition could be produced with low CO2 emissions
Scientists at the Max Planck Institute for Sustainable Materials have developed a carbon-free, energy-saving method to extract nickel for batteries, magnets and stainless steel.
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