Merz, A.; Rohwerder, M.: The protection zone: A long-range corrosion protection mechanism around conducting polymer particles in composite coatings: Part II. PEDOT: PSS. Journal of the Electrochemical Society 166 (12), pp. C314 - C320 (2019)
Merz, A.; Uebel, M.; Rohwerder, M.: The Protection Zone: A Long-Range Corrosion Protection Mechanism around Conducting Polymer Particles in Composite Coatings: Part I. Polyaniline and Polypyrrole. Journal of the Electrochemical Society 166 (12), pp. C304 - C313 (2019)
Merz, A.; Rohwerder, M.: Corrosion protection by composite coatings containing conducting polymer particles: elucidation of the “protection zone”. 232nd ECS Fall Meeting 2017, National Harbour, USA (2017)
Merz, A.; Uebel, M.; Rohwerder, M.: Investigation of the role of protection zone around conducting polymer in composite coatings in inhibiting delamination process. Gordon Research Conferences 2016, New London, NH, USA (2016)
Merz, A.; Uebel, M.; Rohwerder, M.: Investigation of the role of protection zone around conducting polymer in composite coatings in inhibiting delamination process. Gordon Research Seminars 2016, New London, NH, USA (2016)
Merz, A.: Investigation of the “Protection Zone”, a novel mechanism to inhibit delamination of composite organic coatings containing conducting polymer. Dissertation, Ruhr-Universität Bochum (2019)
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…
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…