Properties of defect modes in one-dimensional symmetric defective photonic crystals

King, Tzu Chyang; Wu, Chien Jang

doi:10.1016/j.physe.2015.01.020

Cited by 25 publications

(5 citation statements)

References 15 publications

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“…53 As the incident angle increases, the transmittance at the cavity resonance peak shifts to a shorter wavelength. 54,55 The transmission window at the cavity was moved to 532 nm for an angle of incidence 25°.…”

Section: Resultsmentioning

confidence: 99%

Photonic crystal cavity-mediated improved absorptive nonlinearity of C-4-hydroxy-3-methoxphenilcalix[4]resorcinarene

John

Satheesan

et al. 2023

Phys. Chem. Chem. Phys.

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Section: Resultsmentioning

confidence: 99%

Photonic crystal cavity-mediated improved absorptive nonlinearity of C-4-hydroxy-3-methoxphenilcalix[4]resorcinarene

John

Satheesan

et al. 2023

Phys. Chem. Chem. Phys.

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“…Figure 6(a) presents that the resonance wavelength gradually moves towards the long wavelength direction with D increasing from 190 nm to 390 nm. This is because the change of the energy band structure of the combined PhC originating from the D variation results in a down-shift of the passband in the bandgap, which thus leads to a red shift of the resonance wavelength [44]. However, the magnitude of the resonant peak varies very slightly.…”

Section: Effects Of Microcavity Size On the Sensor Performancementioning

confidence: 99%

Ultrawide-detection-range refractive index sensor based on a two-dimensional mirror-image photonic crystal microcavity

Sheng,

She,

et al. 2024

Phys. Scr.

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In this work, a refractive index sensor is theoretically proposed based on a two-dimensional mirror-image SiO2/Si photonic crystal microcavity. The introduction of mirror-image microcavity effectively enhances the light localization and the coupling between light and liquid analyte. Results show that the sensor exhibits a high near-linear sensitivity of 493.5 nm/RIU with a narrow full-width at half-maximum of ~ 20 nm in a broad refractive index range of 1.0 ~ 1.5. Moreover, the detection resolution for the minimum variation of RI reaches to a level of 0.0002 RIU. For the analyses on the sensor performance (such as sensitivity, full-width at half-maximum), the dependences of all structure parameters are discussed in terms of the cylinder diameter, lattice constant, and microcavity size. This design is expected to detect the refractive index of wide-range liquid analytes in the fields of biology, chemistry, and medicine.

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“…In another design, a PC with triple-defect applicable in polarization control is proposed recently 39 . The defect modes’ absorption value and peak wavelength depend on the distance between the defects, the incident light angle, and the thickness of the defect layers 40 .…”

Section: Introductionmentioning

confidence: 99%

Data analysis on the three defect wavelengths of a MoS2-based defective photonic crystal using machine learning

Ansari,

Sohrabi,

Mirbaghestan

et al. 2023

Sci Rep

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To reduce the dimension of optoelectronic devices, recently, Molybdenum disulfide (MoS2) monolayers with direct bandgap in the visible range are widely used in designing a variety of photonic devices. In these applications, adjustability of the working wavelength and bandwidth with optimum absorption value plays an important role. This work proposes a symmetric defective photonic crystal with three defects containing MoS2 monolayer to achieve triple narrowband defect modes with wavelength adjustability throughout the Photonic Band Gap (PBG) region, 560 to 680 nm. Within one of our designs remarkable FWHM approximately equal to 5 nm with absorption values higher than 90% for the first and third defect modes are achieved. The impacts of varying structural parameters on absorption value and wavelength of defect modes are investigated. Due to the multiplicity of structural parameters which results in data plurality, the optical properties of the structure are also predicted by machine learning techniques to assort the achieved data. Multiple Linear Regression (MLR) modeling is used to predict the absorption and wavelength of defect modes for four datasets based on various permutations of structural variables. The machine learning modeling results are highly accurate due to the obtained R2-score and cross-validation score values higher than 90%.

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Properties of defect modes in one-dimensional symmetric defective photonic crystals

Cited by 25 publications

References 15 publications

Photonic crystal cavity-mediated improved absorptive nonlinearity of C-4-hydroxy-3-methoxphenilcalix[4]resorcinarene

Photonic crystal cavity-mediated improved absorptive nonlinearity of C-4-hydroxy-3-methoxphenilcalix[4]resorcinarene

Ultrawide-detection-range refractive index sensor based on a two-dimensional mirror-image photonic crystal microcavity

Data analysis on the three defect wavelengths of a MoS2-based defective photonic crystal using machine learning

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