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    Comparative study of one-dimensional photonic crystal heterostructure doped with a high and low-transition temperature superconducting for a low-temperature sensor

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    Authors
    Soltani, A.
    Ouerghi, F.
    AbdelMalek, Fathi
    Haxha, Shyqyri
    Affiliation
    University of Tunis-El Manar
    University of Bedfordshire
    Issue Date
    2019-04-20
    Subjects
    very low-temperature sensor
    low and high temperature superconductors
    transfer-matrix method
    photonic crystal heterostructure
    sensors
    
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    Abstract
    In this work, we present a theoretical study dealing with the sensitivity to physical parameters such as defect nature and thickness, and temperature. Indeed, the sensitivity considerably enhanced via the use of one-dimensional photonic crystal heterostructure (1D-PCH) which is composed of a few layers of ordinary materials, and superconducting defects. The aim of this paper is to compare the sensitivity of two proposed models consisting of (a) 1D-PCH doped with a high-transition temperature superconductor (Yttrium barium copper oxide (YBCO)), and (b) 1D-PCH doped with a low-transition temperature superconductor (niobium nitrure (NbN)). By using the transfer-matrix method (TMM), it has been demonstrated that model (b) is very sensitive compared to model (a). Therefore, the superconducting defect nature on 1D-PCH, using a few layers can play a fundamental role in a very low-temperature sensor.
    Citation
    Soltani A, Ouerghi F, AbdelMalek F, Haxha S (2019) 'Comparative study of one-dimensional photonic crystal heterostructure doped with a high and low-transition temperature superconducting for a low-temperature sensor', Optics Communications, 445, pp.268-272.
    Publisher
    Elsevier
    Journal
    Optics Communications
    URI
    http://hdl.handle.net/10547/623756
    DOI
    10.1016/j.optcom.2019.04.056
    Additional Links
    https://www.sciencedirect.com/science/article/pii/S0030401819303487
    Type
    Article
    Language
    en
    ISSN
    0030-4018
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.optcom.2019.04.056
    Scopus Count
    Collections
    Computing

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