\begin{document}$\Delta f = 1.01$\end{document} THz and the relative increment is 2.91% while the largest absolute increment of resonance notch generated by the dual-band PIT transparent window is \begin{document}$\Delta f = 1.77$\end{document} THz and the largest relative increment is 5.97%. In the next place, when the chemical potential is 0.3 eV, the absolute increment of resonance notch generated by the triple-band PIT transparent window is \begin{document}$\Delta f = 1.26$\end{document} THz and the relative increment of the window is 4.02%. On the other hand, when graphene is existent in none of the three models, the resonance between silver nanodisk and silver nanorods, and the resonance between silver nanorods and silver nanorods are the weakest and the transmission amplitude of transparent window is the strongest in each of the three PIT models. Thereafter, with the increase of chemical potential, the number of surface charges on the silver nanodisk and silver nanorods increases and the intensity of electric field is enhanced. At the same time, the coupling strength between silver nanodisk and silver nanorods, and the coupling strength between silver nanorods and silver nanorods are also gradually enhanced. As a result, the transmission amplitude of each PIT model will gradually decrease. Especially, when the chemical potential is 0.5 eV, the amplitude modulation depth of the single-band PIT transparent peak is 20.2% and the amplitude modulation depth of the two transparent windows in dual-band PIT model are 31.2% and 24.2% respectively. In addition, when the chemical potential is 0.3 eV, the amplitude modulation depths of the three transparent windows in triple-band PIT model are 29.8%, 33.8%, and 20.5%. Finally, the sensing properties of the single-band PIT model are further investigated. The results show that the sensitivities of the model with refractive index of different background materials reach 3906.6 nm/RIU all, which provides a theoretical reference for the design of multiband filtering and ultrasensitive sensors. "> - 必威体育下载

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Citation:

    Hu Bao-Jing, Huang Ming, Li Peng, Yang Jing-Jing
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    • Abstract views:5732
    • PDF Downloads:114
    • Cited By:0
    Publishing process
    • Received Date:10 February 2020
    • Accepted Date:18 May 2020
    • Available Online:05 June 2020
    • Published Online:05 September 2020

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