Azzam, W.; Subaihi, A.; Rohwerder, M.; Zharnikov, M.; Bashir, A.: Polymorphism and Building-Block-Resolved STM Imaging of Self-Assembled Monolayers of 4-Fluorobenzenemethanethiol on Au(111). ChemPhysChem 23 (19), e202200347 (2022)
Prabhakar, J. M.; de Vooys, A.; Rohwerder, M.: In situ microscopic investigation of ion migration on the surface of chromium coated steels. npj Materials Degradation 6 (1), 76 (2022)
Govindaraj, Y.; Venkatachalam, D.; Prabhakar, J. M.; Manikandanath, N. T.; Balaraju, J. N.; Rohwerder, M.; Neelakantan, L.: Nano-sized cerium vanadium oxide as corrosion inhibitor: A microstructural and release study. Electrochimica Acta 425, 140696 (2022)
Yin, Y.; Zhao, H.; Prabhakar, J. M.; Rohwerder, M.: Organic composite coatings containing mesoporous silica particles: Degradation of the SiO2 leading to self-healing of the delaminated interface. Corrosion Science 200, 110252 (2022)
Springer, H.; Baron, C.; Tanure, L.; Rohwerder, M.: A combinatorial study of the effect of Al and Cr additions on the mechanical, physical and corrosion properties of Fe. Materials Today Communications 29, 102947 (2021)
Yin, Y.; Schulz, M.; Rohwerder, M.: Optimizing smart self-healing coatings: Investigating the transport of active agents from the coating towards the defect. Corrosion Science 190, 109661 (2021)
Zhong, X.; Schulz, M.; Wu, C.-H.; Rabe, M.; Erbe, A.; Rohwerder, M.: Limiting Current Density of Oxygen Reduction under Ultrathin Electrolyte Layers: From the Micrometer Range to Monolayers. ChemElectroChem 8 (4), pp. 712 - 718 (2021)
Friedrichs, M.; Peng, Z.; Grunwald, T.; Rohwerder, M.; Gault, B.; Bergs, T.: PtIr protective coating system for precision glass molding tools: Design, evaluation and mechanism of degradation. Surface and Coatings Technology 385, 125378 (2020)
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
Hydrogen in aluminium can cause embrittlement and critical failure. However, the behaviour of hydrogen in aluminium was not yet understood. Scientists at the Max-Planck-Institut für Eisenforschung were able to locate hydrogen inside aluminium’s microstructure and designed strategies to trap the hydrogen atoms inside the microstructure. This can…
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…