Aguirre, J.; Walczak, M.; Rohwerder, M.: The mechanism of erosion-corrosion of API X65 steel under turbulent slurry flow: Effect of nominal flow velocity and oxygen content. WEAR 438-439, 203053 (2019)
Urriola, P. V.; Walczak, M.; Rohwerder, M.: Theoretical Efficiency of Metallic Dispersion Coatings for Corrosion Protection at the Cut-Edge. Journal of the Electrochemical Society 160 (8), pp. C305 - C315 (2013)
Stempniewicz, M.; Rohwerder, M.; Marlow, F.: Release of Guest Molecules from Modified Mesoporous Silica. 5th International Mesostructured Materials Symposium, IMMS2006, Shanghai, China, August 05, 2006 - August 07, 2006. (2006)
Stempniewicz, M.; Rohwerder, M.; Marlow, F.: Release of guest molecules from modified mesoporous silica. 5th International Mesostructured Materials Symposium, Shanghai, China (2006)
Stempniewicz, M.; Rohwerder, M.; Marlow, F.: Release of dye molecules from mesostructured microparticles. 104th Bunsentagung, Frankfurt a. M., Germany (2005)
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
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.