Grundmeier, G.; Rossenbeck, B.; Roschmann, K. J.; Ebbinghaus, P.; Stratmann, M.: Corrosion Protection of Zn-Phosphate Containing Water Borne Dispersion Coatings on Steel. Part 2: Corrosive de-adhesion of model films on iron substrates. Corrosion Science 48 (11), pp. 3716 - 3730 (2006)
Rossenbeck, B.; Ebbinghaus, P.; Stratmann, M.; Grundmeier, G.: Corrosion protection of Zn-phosphate containing water borne dispersion coatings on steel. Part 1: Design and Analysis of Model Water Based Latex Films on Iron Substrates. Corrosion Science 48, pp. 3703 - 3715 (2006)
Grundmeier, G.; Roßenbeck, B.: Spectroscopic, microscopic and electrochemical investigations of protective model latex films on iron. GDCH Jahrestagung, München, Germany (2003)
Grundmeier, G.; Stratmann, M.; Roßenbeck, B.: Spectroscopic, microscopic and electrochemical investigations of protective model latex films on iron. ECASIA, Berlin, Germany (2003)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
The aim of the Additive micromanufacturing (AMMicro) project is to fabricate advanced multimaterial/multiphase MEMS devices with superior impact-resistance and self-damage sensing mechanisms.
The Ni- and Co-based γ/γ’ superalloys are famous for their excellent high-temperature mechanical properties that result from their fine-scaled coherent microstructure of L12-ordered precipitates (γ’ phase) in an fcc solid solution matrix (γ phase). The only binary Co-based system showing this special type of microstructure is the Co-Ti system…
In this project, we employ atomistic computer simulations to study grain boundaries. Primarily, molecular dynamics simulations are used to explore their energetics and mobility in Cu- and Al-based systems in close collaboration with experimental works in the GB-CORRELATE project.
This project is a joint project of the De Magnete group and the Atom Probe Tomography group, and was initiated by MPIE’s participation in the CRC TR 270 HOMMAGE. We also benefit from additional collaborations with the “Machine-learning based data extraction from APT” project and the Defect Chemistry and Spectroscopy group.