Beese-Vasbender, P. F.; Nayak, S.; Erbe, A.; Stratmann, M.; Mayrhofer, K. J. J.: Electrochemical characterization of direct electron uptake in electrical microbially influenced corrosion of iron by the lithoautotrophic SRB Desulfopila corrodens strain IS4. Electrochimica Acta 167, pp. 321 - 329 (2015)
Ettl, C.; Stratmann, M.: Editorial: Chemistry and the Max Planck Society: A Stable Bond Resonating into the Future. Angewandte Chemie International Edition 54 (20), pp. 5798 - 5799 (2015)
Ettl, C.; Stratmann, M.: Editorial: Die Chemie in der Max‐Planck‐Gesellschaft – Vergangenheit und Zukunft einer erfolgreichen Verbindung. Angewandte Chemie 127 (20), pp. 5892 - 5893 (2015)
Iqbal, D.; Sarfraz, A.; Stratmann, M.; Erbe, A.: Solvent-starved conditions in confinement cause chemical oscillations excited by passage of a cathodic delamination front. Chemical Communications 51 (89), pp. 16041 - 16044 (2015)
Nayak, S.; Biedermann, P. U.; Stratmann, M.; Erbe, A.: In situ infrared spectroscopic investigation of intermediates in the electrochemical oxygen reduction on n-Ge(100) in alkaline perchlorate and chloride electrolyte. Electrochimica Acta 106, pp. 472 - 482 (2013)
Nayak, S.; Biedermann, P. U.; Stratmann, M.; Erbe, A.: A mechanistic study of the electrochemical oxygen reduction on the model semiconductor n-Ge(100) by ATR-IR and DFT. Physical Chemistry Chemical Physics 15 (16), pp. 5771 - 5781 (2013)
Posner, R.; Jubb, A. M.; Frankel, G. S.; Stratmann, M.; Allen, H. C.: Simultaneous in-situ Kelvin Probe and Raman spectroscopy analysis of electrode potentials and molecular structures at polymer covered salt layers on steel. Electrochimica Acta 83, pp. 327 - 334 (2012)
Enning, D.; Venzlaff, H.; Garrelfs, J.; Dinh, H. T.; Meyer, V.; Mayrhofer, K. J. J.; Hassel, A. W.; Stratmann, M.; Widdel, F.: Marine sulfate-reducing bacteria cause serious corrosion of iron under electroconductive biogenic mineral crust. Environmental Microbiology 14 (7), pp. 1772 - 1787 (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)
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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…