Azzam, W.; Zharnikov, M.; Rohwerder, M.; Bashir, A.: Functional group selective STM Imaging in self-assembled monolayers: Benzeneselenol on Au(111). Applied Surface Science 427 (Part B), pp. 581 - 586 (2018)
Luo, H.; Li, Z.; Chen, Y.-H.; Ponge, D.; Rohwerder, M.; Raabe, D.: Hydrogen effects on microstructural evolution and passive film characteristics of a duplex stainless steel. Electrochemistry Communucations 79, pp. 28 - 32 (2017)
Altin, A.; Rohwerder, M.; Erbe, A.: Cyclodextrins as carriers for organic corrosion inhibitors in organic coatings. Journal of the Electrochemical Society 164 (4), pp. C128 - C134 (2017)
Fuertes, N.; Bengtsson, V.; Pettersson, R. F. A.; Rohwerder, M.: Use of SVET to evaluate corrosion resistance of heat tinted stainless steel welds and effect of post-weld cleaning. Materials and Corrosion - Werkstoffe und Korrosion 68 (1), pp. 7 - 19 (2017)
Zidi, R.; Bekri-Abbes, I.; Sdiri, N.; Vimalanandan, A.; Rohwerder, M.; Srasra, E.: Electrical and dielectric investigation of intercalated polypyrrole montmorillonite nanocomposite prepared by spontaneous polymerization of pyrrole into Fe(III)-montmorillonite. Materials Science and Engineering B-Solid State Materials for Advanced Technology 212, pp. 14 - 23 (2016)
Tarzimoghadam, Z.; Rohwerder, M.; Merzlikin, S. V.; Bashir, A.; Yedra , L.; Eswara, S.; Ponge, D.; Raabe, D.: Multi-scale and spatially resolved hydrogen mapping in a Ni–Nb model alloy reveals the role of the δ phase in hydrogen embrittlement of alloy 718. Acta Materialia 109, pp. 69 - 81 (2016)
Borodin, S.; Vogel, D.; Swaminathan, S.; Rohwerder, M.: Direct In-Situ Investigation of Selective Surface Oxidation During Recrystallization Annealing of a Binary Model Alloy. Oxidation of Metals 85 (1-2), pp. 51 - 63 (2016)
Dandapani, V.; Tran, T. H.; Bashir, A.; Evers, S.; Rohwerder, M.: Hydrogen Permeation as a Tool for Quantitative Characterization of Oxygen Reduction Kinetics at Buried Metal-Coating Interfaces. Electrochimica Acta 189, pp. 111 - 117 (2016)
Dandapani, V.; Altin, A.; Merola, C.; Bashir, A.; Heinen, E.; Rohwerder, M.: Probing the buried metal-organic coating interfacial reaction kinetic mechanisms by a hydrogen permeation based potentiometric approach. Journal of the Electrochemical Society 163 (13), pp. C778 - C783 (2016)
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…