Trinca, A.; Verdone, N.; Özgün, Ö.; Ma, Y.; Filho, I.; Raabe, D.; Vilardi, G.: Sustainable ironmaking from low-grade iron ores: A kinetic study on thermal decomposition and reduction of iron (II) oxalate. Journal of Environmental Chemical Engineering 13 (6), 119573 (2025)
Dong, X.; Wei, S.; Tehranchi, A.; Saksena, A.; Ponge, D.; Sun, B.; Raabe, D.: The dual role of boron on hydrogen embrittlement: example of interface-related hydrogen effects in an austenite-ferrite two-phase lightweight steel. Acta Materialia 299, 121458 (2025)
Büyükuslu, Ö.; Yang, F.; Raabe, D.; To Baben, M.; Ravensburg, A.: Using Thermodynamics and Microstructure to Mitigate Overfitting in Pellet Reduction Models. steel research international, 2500263 (2025)
Pauna, H.; Souza Filho, I. R.; Kulse, M.; Jovičević-Klug, M.; Springer, H.; Huttula, M.; Fabritius, T.; Raabe, D.: In Situ Observation of Sustainable Hematite-Magnetite-Wustite-Iron Hydrogen Plasma Reduction. Metallurgical and Materials Transactions B 56 (4), pp. 3938 - 3949 (2025)
Ratzker, B.; Ruffino, M.; Shankar, S.; Raabe, D.; Ma, Y.: Elucidating the microstructure evolution during hydrogen-based direct reduction via a case study of single crystal hematite. Acta Materialia 294, 121174 (2025)
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
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.