Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Morales, C. F. Leon

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2014Detection of microbiologically influenced corrosion by electrochemical noise transients47citations

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Tinga, Tiedo
1 / 28 shared
Wit, J. H. W. De
1 / 16 shared
Mol, J. M. C.
1 / 93 shared
Homborg, A. M.
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2014

Co-Authors (by relevance)

  • Tinga, Tiedo
  • Wit, J. H. W. De
  • Mol, J. M. C.
  • Homborg, A. M.
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article

Detection of microbiologically influenced corrosion by electrochemical noise transients

  • Morales, C. F. Leon
  • Tinga, Tiedo
  • Wit, J. H. W. De
  • Mol, J. M. C.
  • Homborg, A. M.
Abstract

This work investigates the electrochemical processes involved in pitting corrosion induced by microbiologically influenced corrosion by using time-resolved instantaneous frequency information of electrochemical current noise (ECN) transients obtained from Hilbert spectra. In addition to the time-frequency analyses, also the open corrosion potential is investigated and microscopic examinations of the specimens are performed after the tests. Hilbert spectra of the ECN signals indicated the development of transients in one of the two electrochemical cells containing sulphate-reducing bacteria with a different instantaneous frequency decomposition as compared to the background ECN signal, which resulted from the anaerobic general corrosion process. After day 13, the transients in the ECN signals developed towards consistent instantaneous frequency decompositions in the Hilbert spectra that are typical for relatively fast pitting corrosion processes. Post-exposure microscopic observations confirmed the existence of pits underneath the attached biofilms at the working electrodes.

Topics
  • impedance spectroscopy
  • pitting corrosion
  • decomposition