Data · collection · 2016
Differential Refractive index sensor based on Photonic molecules and defect cavities
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We present a novel differential refractive index sensor based on arrays of photonic molecules (PM) of dielectric cylinders and two structural defect cavities.
Description
The transmission spectrum of the photonic structure proposed as sensor shows a wide photonic stop band with two localized states. One of them, the reference state, is bound to a decagonal ring of cylinders and the other, the sensing state, to the defect cavities of the lattice.
It is shown that defect mode is very sensitive to the presence of materials with dielectric permittivity different from that of the surrounding cylinders while the state in the PM is not affected by their presence. This behavior allows to design a device for sensing applications. A prototype of the sensor, in the microwave region, was built using a matrix of 3x2 PM arrays made of soda-lime glass cylinders (εc = 4.5).
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The transmission spectra was measured in the microwave range (8-12 GHz) with samples of different refractive index inserted in the defect cavities. Simulations with Finite Integration time-domain Method are in good agreement with experiments. We find that the response of the sensor is linear.
Device measurement range is determined by the dielectric constant of the cylinders that make up the device. The results here presented in the microwave region can be extrapolated to the visible range due to scale invariance of Maxwell equations. This make our prototype a promising structure as sensor also in the optical range.
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- Repository landing page figshare.com/collections/Differential_Refractive_index_sensor_based_on_Phot… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.c.3148663.v1 ↗
DOI / persistent id · from DataCite
Documentation and papers
- CC-BY creativecommons.org/licenses/by/3.0/us ↗
license · from DataCite
- IsSupplementTo 10.1364/oe.24.018807 doi.org/10.1364/oe.24.018807 ↗
publication · from DataCite
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- DataCite API api.datacite.org/dois/10.6084/m9.figshare.c.3148663.v1 ↗
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- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.c.3148663.v1 ↗
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Topics
- Inferred from text
- Electronics, sensors and digital hardware 74%
Related
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.c.3148663.v1 | 14 d ago | JSON v1 |
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