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)
Beese, P.; Venzlaff, H.; Enning, D.; Mayrhofer, K. J. J.; Widdel, F.; Stratmann, M.: Monitoring anerobic microbially influenced corrosion with electrochemical frequency modulation. 12th Topical Meeting of the International Society of Electrochemistry & XXII International Symposium on Bioelectrochemistry and Bioenergetics of the Bioelectrochemical Society, Bochum, Germany (2013)
Venzlaff, H.; Enning, D.; Widdel, F.; Stratmann, M.; Hassel, A. W.: A new model for microbiologically influenced corrosion. The European Corrosion Congress Eurocorr 2010, Moscow, Russia (2010)
Venzlaff, H.; Widdel, F.; Stratmann, M.; Hassel, A. W.: Microbial corrosion induced by a new highly aggressive SRB strain. 59th Annual Meeting of the International Society of Electrochemistry, Sevilla, Spain (2008)
Venzlaff, H.; Enning, D. R.; Widdel, F.; Stratmann, M.; Hassel, A. W.: Microbial corrosion induced by a highly aggressive SRB strain. 2nd International IMPRS-SurMat Workshop on Surface and Interface Engineering in Advanced Materials, Bochum, Germany (2008)
Venzlaff, H.: Die elektrisch mikrobiell beeinflusste Korrosion von Eisen durch sulfatreduzierte Bakterien. Dissertation, Fakultät für Maschinenbau der Ruhr-Universität, Bochum, Germany (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
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…