Spectral properties of a one-dimensional photonic crystal with a resonant defect nanocomposite layer

Vetrov, S. Ya.; Avdeeva, A. Yu.; Timofeev, Ivan V.

doi:10.1134/s1063776111140093

Cited by 48 publications

(11 citation statements)

References 28 publications

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“…This effect can be explained if the defect mode is represented as a standing wave arising as a result of reflection from the mirrors of a resonator formed by the defect layer that has an optical characteristics corresponding to the resonator eigenmode (Vetrov et al 2011(Vetrov et al , 2014. Indeed, the Fabri-Perot resonance condition n ¼ k d m=2L d (m ¼ 1; 2; .…”

Section: Effective Permittivity Of Plasmonic Nanocompositementioning

confidence: 97%

“…The use of metal-dielectric nanocomposites as the media in the composition of photonic crystal structures leads to the manifestation of such effects as the appearance of an additional photonic band gap, splitting of the transmission regions in the photonic band gaps of defective photonic crystals, and the polarization sensitivity of the spectra of photonic crystals (Moiseev et al 2012;Vetrov et al 2011Vetrov et al , 2014.…”

Section: Introductionmentioning

confidence: 99%

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Influence of the size-dependent permittivity of metal inclusions on the optical characteristics of a one-dimensional photonic crystal with a nanocomposite defect

Moiseev

Ostatochnikov

2015

Opt Quant Electron

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Section: Effective Permittivity Of Plasmonic Nanocompositementioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Influence of the size-dependent permittivity of metal inclusions on the optical characteristics of a one-dimensional photonic crystal with a nanocomposite defect

Moiseev

Ostatochnikov

2015

Opt Quant Electron

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“…The effective permittivity of a dielectric hybrid sample, formed by an isotropic homogeneous medium, in which the interior there is randomly dispersed a very small amount but is also a isotropic dopant, can be approximated by applying the Maxwell Garnett formula [20][21][22][23], which has been derived by using the long wavelength approximation. We discuss in what follows the strongest hypothesis for the validity of this approach.…”

Section: Effective Permittivitymentioning

confidence: 99%

Reflection band gap for a transversely stretched composite cholesteric elastomer

Reyes

2019

J. Opt.

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We have studied the conduction of electromagnetic waves, impinging normally in a composite cholesteric elastomer slab, doped with metallic inclusions, aleatory distributed in the structure. We performed a theoretical and numerical model, which allows us to obtain the reflection and transmission spectra, when the system is under the action of mechanical forces in a transverse direction with respect to the cholesteric axis. We have found that by stretching the elastomer slab transversely after the critical value of stretching in which the helical structure gets unwound, it transform from a discriminatory circular filter to a polarization-independent device. Intervals of conversion, from right to left circularly-polarized waves in the reflection spectra, are alternated with regions of resembling transmission of both circularly polarized waves. The spectra of the pure cholesteric elastomer can be modulated specially nearby the metallic resonance where the transmittances are greatly damped and reflection is considerably increased.

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“…Recently, researchers have focused their attention on using nanocomposite materials in which metal nanoparticles are embedded. Photonic biosensors consisting of metal-embedded nanocomposite materials have low absorption in comparison to the metal-based photonic biosensing designs, wherein the metal nanosphere is immersed in to dielectric material [ 23 ] to form nanocomposite materials. Such PCs show new PBGs in the region of the plasma frequency of metal and are very sensitive to the nature of the polarization of incident light [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

Bio-Alcohol Sensor Based on One-Dimensional Photonic Crystals for Detection of Organic Materials in Wastewater

et al. 2022

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In this work, we have explored a novel application of one–dimensional (1D) photonic crystals (PCs) as a biomarker for the detection of organic materials in wastewater. The high concentration of organic materials may lead to adverse impact on human life. In order to save human life from these adverse effects, we have investigated the bio-alcohol sensing properties of a 1D multilayer periodic structure (AB)N/C/(AB)N capable of detecting organic materials in wastewater. The proposed structure works on the principle to detect a very small change in the refractive index of the wastewater sample under investigation by means of producing a shift in the position of the defect mode inside the photonic band gap (PBG) of the proposed structure. The transfer matrix method (TMM) has been used to investigate the transmission properties of the proposed design with the help of MATLAB software. We have also studied the effect of changes in the defect layer’s thickness, the volume fraction of the nanocomposite material and the incident angle on the sensitivity of our proposed bio-alcohol sensing design. Our bio-alcohol sensor shows a high sensitivity value of 500 nm/RIU and a low detection limit value of 1 × 10−5 RIU. The figure of merit and quality factor values of our bio-alcohol sensor are 5 × 103 and 5.236 × 103, respectively. The damping rate of the design is ξ=95.4927×10−5.

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Spectral properties of a one-dimensional photonic crystal with a resonant defect nanocomposite layer

Cited by 48 publications

References 28 publications

Influence of the size-dependent permittivity of metal inclusions on the optical characteristics of a one-dimensional photonic crystal with a nanocomposite defect

Influence of the size-dependent permittivity of metal inclusions on the optical characteristics of a one-dimensional photonic crystal with a nanocomposite defect

Reflection band gap for a transversely stretched composite cholesteric elastomer

Bio-Alcohol Sensor Based on One-Dimensional Photonic Crystals for Detection of Organic Materials in Wastewater

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