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Advanced Nanotechnologies for Detection and Defence against CBRN Agents pp 105–120Cite as

Time Domain Versus Frequency Domain in the Characterization of Materials

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Abstract

The development of sampling oscilloscopes provided the possibility to measure dielectric relaxation processes in materials directly in the time domain. This allows using relaxation models in time. In complex systems, the use of non-Debye models, such as Kohlrausch-Williams-Watts is common. Simultaneously, the use of frequency domain measurements is becoming very useful, due to the possibility of using highly accurate impedancemeters. To obtain a complete characterization of the dielectric response, a large range of frequencies and temperatures must be used.The different regimes of the dielectric function can be observed and the dynamics of the relaxations can be determined, using modelling with different empirical models, such as Cole-Cole, Cole-Davidson and Havriliak-Negami. In this contribution, different examples of the use of time and frequency domain measurements are presented, showing the capability of both techniques.

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Author information

Authors and Affiliations

  1. I3N and Physics Department, University of Aveiro, Aveiro, Portugal

    L. C. Costa

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  1. L. C. Costa
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Correspondence to L. C. Costa .

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Editors and Affiliations

  1. Department of Physics, University of Chemical Technology & Metallurgy, Sofia, Bulgaria

    Plamen Petkov

  2. Department of Physics, Technical University of Moldova, Chisinau, Moldova

    Dumitru Tsiulyanu

  3. Institute of Nanostructure Technologies and Analytics, University of Kassel, Kassel, Germany

    Cyril Popov

  4. Department of Mathematics and Natural Sciences, University of Kassel, Kassel, Germany

    Wilhelm Kulisch

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Costa, L.C. (2018). Time Domain Versus Frequency Domain in the Characterization of Materials. In: Petkov, P., Tsiulyanu, D., Popov, C., Kulisch, W. (eds) Advanced Nanotechnologies for Detection and Defence against CBRN Agents. NATO Science for Peace and Security Series B: Physics and Biophysics. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-1298-7_13

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