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)
Koelsch, P.; Muglali, M. I.; Rohwerder, M.; Erbe, A.: Third-order effects in resonant sum-frequency-generation signals at electrified metal/liquid interfaces. Journal of the Optical Society of America B-Optical Physics 30 (1), pp. 219 - 223 (2013)
Khan, T. R.; Vimalanandan, A.; Marlow, F.; Erbe, A.; Rohwerder, M.: Existence of a lower critical radius for incorporation of silica particles into zinc during electro-codeposition. ACS Applied Materials and Interfaces 4 (11), pp. 6221 - 6227 (2012)
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)
Evers, S.; Rohwerder, M.: The hydrogen electrode in the “dry”: A Kelvin probe approach to measuring hydrogen in metals. Electrochemistry Communications 24, pp. 85 - 88 (2012)
Muglali, M. I.; Bashir, A.; Birkner, A.; Rohwerder, M.: Hydrogen as an optimum reducing agent for metallization of self-assembled monolayers. Journal of Materials Chemistry 22 (29), pp. 14337 - 14340 (2012)
Azzam, W.; Bashir, A.; Biedermann, P. U.; Rohwerder, M.: Formation of highly ordered and orientated gold islands: Effect of immersion time on the molecular adlayer structure of pentafluorobenzenethiols (PFBT) SAMs on Au(111). Langmuir 28 (27), pp. 10192 - 10208 (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)
Özkanat, Ö.; Salgin, B.; Rohwerder, M.; Mol, J. M. C.; De Wit, H. J. H. W.; Terryn, H. A.: Erratum: Scanning Kelvin probe study of (oxyhydr)oxide surface of aluminum alloy (The Journal of Physical Chemistry C (2012) 116:2 (1805-1811) DOI: 10.1021/jp205585u). Journal of Physical Chemistry C 116 (10), p. 6505 - 6505 (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)
Liu, H.; He, Y.; Swaminathan, S.; Rohwerder, M.; Li, L.: Effect of dew point on the surface selective oxidation and subsurface microstructure of TRIP-aided steel. Surface and Coatings Technology 206 (6), pp. 1237 - 1243 (2011)
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)
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…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.