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)
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
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.