Schneider, P.; Sigel, R.; Lange, M. M.; Beier, F.; Renner, F. U.; Erbe, A.: Activation and fluoride-assisted phosphating of aluminium silicon coated steel. ACS Applied Materials and Interfaces 5 (10), pp. 4224 - 4232 (2013)
Kawano, T.; Renner, F. U.: Studies on Wetting Behaviour of Hot-dip Galvanizing Process by use of Model Specimens with Tailored Surface Oxides. Surf. Int. Anal. 44 (8), pp. 1009 - 1012 (2012)
Kawano, T.; Renner, F. U.: Tailoring Model Surface and Wetting Experiment for a Fundamental Understanding of Hot-dip Galvanizing. ISIJ International 51, 10, pp. 1703 - 1709 (2011)
Valtiner, M.; Ankah, G. N.; Bashir, A.; Renner, F. U.: Atomic force microscope imaging and force measurements at electrified and actively corroding interfaces: Challenges and novel cell design. Review of Scientific Instruments 82 (2), pp. 023703-1 - 023703-8 (2011)
Naraparaju, R.; Christ, H.-J.; Renner, F. U.; Kostka, A.: Effect of shot-peening on the oxidation behaviour of boiler steels. Oxidation of Metals 76 (3-4), pp. 233 - 245 (2011)
Borissov, D.; Pareek, A.; Renner, F. U.; Rohwerder, M.: Electrodeposition of Zn and Au–Zn alloys at low temperature in an ionic liquid. Physical Chemistry Chemical Physics 12 (9), pp. 2059 - 2062 (2010)
Gründer, Y.; Renner, F. U.; Lee,, T. L.: The electrodeposition of copper onto UHV-prepared GaAs(001) surfaces. Surface Science 603 (17), pp. L105 - L108 (2009)
Naraparaju, R.; Christ, H.-J.; Renner, F. U.; Kostka, A.: Dislocation Engineering and its effect on the oxidation behaviour. Materials at High Temperatures 29, pp. 116 - 122 (2012)
Duarte, M. J.; Brinckmann, S.; Renner, F. U.; Dehm, G.: Nanomechanical testing under environmental conditins of Fe-based metallic glasses. 22st International Symposium on Metastable Amorphous and Nanostructured Materials, ISMANAM 2015, Paris, France (2015)
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
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 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…
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.
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.