Rohwerder, M.; Stratmann, M.; de Boeck, A.; Ogle, K.; Rehnisch, O.; Reier, T.; Stellnberger, K.-H.; Steinbeck, C.; Wormuth, R.: Investigation of the delamination of polymer-coated zinc and steel surfaces with the scanning Kelvin probe in a climatic cycle test. GALVATECH 2001, Brussels, Belgium (2001)
Stratmann, M.; Vander Kloet, J.; Schmidt, W.; Hassel, A. W.: Investigations into the Role of Copper in AA2024-T3 Aluminium Alloys on Filiform Corrosion Advancement and the Role of Chromium in Corrosion Inhibition. 63. AGEF-Seminar, Düsseldorf, Germany (2001)
Rohwerder, M.; Stratmann, M.: The Scanning Kelvin Probe as a New Technique to Analyze Buried Interfaces. 196th meeting of the ECS, Honolulu, USA (1999)
Rohwerder, M.; Unger, M.; Lobnig, R. E.; Stratmann, M.: Role of ammonia sulfate particles in the corrosion of electronic devices. Eurocorr'99, Aachen, Germany (1999)
Rohwerder, M.; de Weldige, K.; Stratmann, M.: On the influence of the electrode potential on growth and stability of thiol monolayer films: Scanning tunneling microscopic and electrochemical investigations. 3rd Indo-German Symposium on modern methods in electrochemistry, Bangalore, India (1996)
Rohwerder, M.; de Weldige, K.; Stratmann, M.: Zum Einfluß des Elektrodenpotentials auf Wachstum und Zerstörung von Thiolfilmen. Bunsentagung, Jena, Germany (1996)
Rohwerder, M.; de Weldige, K.; Stratmann, M.: The influence of the electrode potential on the self-assembly of decanethiol on the Au(111) surface. 188th Meeting of the ECS, Chicago, IL, USA (1995)
Rohwerder, M.; de Weldige, K.; Viefhaus, H.; Stratmann, M.: Adsorption selbst-organisierter Mercaptan-Monolagen auf Gold. Workshop on Development and Industrial Application of Scanning Probe Microscopes SXM1, Münster, Germany (1994)
Pang, B.; Stratmann, M.; Vogel, D.; Erbe, A.; Rohwerder, M.: Characterization of electrochemical double layer formed on Au (111) electrode: a KPM, FTIR and APXPS investigation. 2nd Annual APXPS Workshop, Berkeley, CA, USA (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…