Evers, S.; Senöz, C.; Rohwerder, M.: Hydrogen detection in metals: A review and introduction of a Kelvin probe approach. Science and Technology of Advanced Materials 14 (1), 014201 (2013)
Maljusch, A.; Senöz, C.; Rohwerder, M.; Schuhmann, W.: Combined high resolution scanning Kelvin probe - Scanning electrochemical microscopy investigations for the visualization of local corrosion processes. Electrochimica Acta 82, pp. 339 - 348 (2012)
Senöz, C.; Borodin, S.; Stratmann, M.; Rohwerder, M.: In-situ detection of differences in the electrochemical activity of Al2Cu IMPs and investigation of their effect on FFC by scanning Kelvin probe force microscopy. Corrosion Science 58, pp. 307 - 314 (2012)
Senöz, C.; Maljusch, A.; Rohwerder, M.; Schuhmann, W.: SECM and SKPFM studies of the local corrosion mechanism of Al alloys-A pathway to an integrated SKP-SECM system. Electroanalysis 24 (2), pp. 239 - 245 (2012)
Senöz, C.; Evers, S.; Stratmann, M.; Rohwerder, M.: Scanning Kelvin Probe as a highly sensitive tool for detecting hydrogen permeation with high local resolution. Electrochemistry Communucations 13 (12), pp. 1542 - 1545 (2011)
Senöz, C.; Rohwerder, M.: Scanning Kelvin probe force microscopy for the in situ observation of the direct interaction between active head and intermetallic particles in filiform corrosion on aluminium alloy. Electrochimica Acta 56 (26), pp. 9588 - 9595 (2011)
Merzlikin, S. V.; Bashir, A.; Evers, S.; Senöz, C.; Rohwerder, M.: Using Scanning Kelvin Probe Force Microscopy and Thermal Desorption for Localized Hydrogen Detection and Quantification in Steels. 2nd International Conference on hydrogen in Steels, Gent, Belgium (2014)
Evers, S.; Senöz, C.; Rohwerder, M.: Investigation of the Interaction between H2 and trap sites in Duplex Steel by Scanning Kelvin Probe Force Microscopy. 63rd Annual Meeting of the International Society of Electrochemistry, Prague, Czech Republic (2012)
Senöz, C.; Rohwerder, M.: High Resolution Study of Hydrogen Permeation through Metals by Scanning Kelvin Probe Force Microscopy. 217th ECS Meeting, Vancouver, Canada (2010)
Senöz, C.; Rohwerder, M.: Application of Atomic Force Microscopy in its Kelvin Probe Mode (SKPFM) over Filiform Corrosion of Aluminum Alloys. Workshop on Scanning Probe Microscopies and Organic Materials XVII, Bremen, Germany (2009)
Senöz, C.; Maljusch, A.; Rohwerder, M.; Schuhmann, W.: Microstructural and Surface Potential Study of Al–4 wt% Cu–Mg (DURAL) Alloy. ICAA 11, 11th International Conference on Aluminium Alloys, Aachen, Germany (2008)
Senöz, C.: High resolution investigation of localized corrosion by in-situ SKPFM. Dissertation, Fakultät für Maschinenbau der Ruhr-Universität Bochum, Bochum, Germany (2011)
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.
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…
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…