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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Materials Map under construction

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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2013Application of transient analysis using Hilbert spectra of electrochemical noise to the identification of corrosion inhibition41citations
  • 2013Transient analysis through Hilbert spectra of electrochemical noise signals for the identification of localized corrosion of stainless steel69citations

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Tinga, Tiedo
2 / 28 shared
Wit, J. H. W. De
2 / 16 shared
Zhang, X.
2 / 65 shared
Ferrari, G. M.
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Mol, J. M. C.
2 / 93 shared
Homborg, A. M.
2 / 13 shared
Oonincx, P. J.
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2013

Co-Authors (by relevance)

  • Tinga, Tiedo
  • Wit, J. H. W. De
  • Zhang, X.
  • Ferrari, G. M.
  • Mol, J. M. C.
  • Homborg, A. M.
  • Oonincx, P. J.
OrganizationsLocationPeople

article

Application of transient analysis using Hilbert spectra of electrochemical noise to the identification of corrosion inhibition

  • Tinga, Tiedo
  • Wit, J. H. W. De
  • Westing, E. P. M.
  • Zhang, X.
  • Ferrari, G. M.
  • Mol, J. M. C.
  • Homborg, A. M.
Abstract

This study validates the ability of Hilbert spectra to investigate transients in an electrochemical noise signal for an aqueous corrosion inhibition process. The proposed analysis procedure involves the identification and analysis of transients in the electrochemical current noise signal. Their decomposition into instantaneous frequencies in a Hilbert spectrum allows detection of changes in corrosion characteristics, i.e. the evolution of corrosion inhibition with time. The effectiveness of the proposed analysis procedure is investigated for AA2024-T3 exposed to aqueous 10-1 M NaCl solutions with or without the addition of Ce ions at various concentrations. Examination of specific features in the electrochemical noise signals shows the presence of three characteristic regions, which represent surface activity regimes ranging from active (localized) corrosion to the inhibited state. Hilbert spectra of the electrochemical current noise signals allow identification of transients occurring in these successive regions.The analysis procedure introduced in this work yields improved applicability of electrochemical noise measurements for the identification of an inhibition effect in corrosion processes.

Topics
  • impedance spectroscopy
  • surface
  • corrosion
  • decomposition