Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Standing Waves in a Cavity01:28

Standing Waves in a Cavity

A household microwave and lasers are examples of standing electromagnetic waves in a cavity. When two conducting metal plates are placed parallel at the nodal planes, it creates a cavity where standing waves are formed. The cavity between the two planes is analogous to a stretched string held at the points x = 0 and x = L. Here, the distance 'L' between the two planes must be an integer multiple of half of the wavelength. The wavelengths that satisfy this condition are given by:
Propagation of Waves01:07

Propagation of Waves

When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...
Deriving the Speed of Sound in a Liquid01:09

Deriving the Speed of Sound in a Liquid

As with waves on a string, the speed of sound or a mechanical wave in a fluid depends on the fluid's elastic modulus and inertia. The two relevant physical quantities are the bulk modulus and the density of the material. Indeed, it turns out that the relationship between speed and the bulk modulus and density in fluids is the same as that between the speed and the Young's modulus and density in solids.
The speed of sound in fluids can be derived by considering a mechanical wave propagating...
High-Performance Liquid Chromatography: Types of Detectors01:15

High-Performance Liquid Chromatography: Types of Detectors

The role of the detectors in High-Performance Liquid Chromatography (HPLC) is to analyze the solutes as they exit from the chromatographic column. The detector recognizes the solute's property and generates corresponding electrical signals, which are converted into a readable graph of the detector's response versus elution time called a chromatogram at the computer. There are several types of HPLC detectors, each with its own advantages and limitations, depending on the analyte properties and...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A single-fibre computer enables textile networks and distributed inference.

Nature·2025
Same author

Fiber-based Miniature Strain Sensor with Fast Response and Low Hysteresis.

Advanced functional materials·2024
Same author

Single Layer Silk and Cotton Woven Fabrics for Acoustic Emission and Active Sound Suppression.

Advanced materials (Deerfield Beach, Fla.)·2024
Same author

Multifunctional microelectronic fibers enable wireless modulation of gut and brain neural circuits.

Nature biotechnology·2023
Same author

Magnetically Actuated Fiber-Based Soft Robots.

Advanced materials (Deerfield Beach, Fla.)·2023
Same author

A 'Moore's law' for fibers enables intelligent fabrics.

National science review·2023

Related Experiment Video

Updated: May 25, 2026

Fabrication And Characterization Of Photonic Crystal Slow Light Waveguides And Cavities
11:08

Fabrication And Characterization Of Photonic Crystal Slow Light Waveguides And Cavities

Published on: November 30, 2012

Bragg waveguides with low-index liquid cores.

Kristopher J Rowland1, V Shahraam Afshar, Alexander Stolyarov

  • 11Institute for Photonics & Advanced Sensing, The University of Adelaide, Adelaide, Australia. kristopher.rowland@adelaide.edu.au

Optics Express
|January 26, 2012
PubMed
Summary

Researchers developed a new model to tune light properties in binary layered structures. This work shows sensitive control of bandgaps for applications like refractive index sensing.

More Related Videos

Writing Bragg Gratings in Multicore Fibers
08:48

Writing Bragg Gratings in Multicore Fibers

Published on: April 20, 2016

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor
07:28

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor

Published on: August 30, 2012

Related Experiment Videos

Last Updated: May 25, 2026

Fabrication And Characterization Of Photonic Crystal Slow Light Waveguides And Cavities
11:08

Fabrication And Characterization Of Photonic Crystal Slow Light Waveguides And Cavities

Published on: November 30, 2012

Writing Bragg Gratings in Multicore Fibers
08:48

Writing Bragg Gratings in Multicore Fibers

Published on: April 20, 2016

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor
07:28

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor

Published on: August 30, 2012

Area of Science:

  • Photonics and optical materials science.
  • Nanophotonics and metamaterials.
  • Wave propagation in periodic structures.

Background:

  • Binary layered structures confine light, enabling control over spectral properties.
  • Understanding bandgap behavior is crucial for optical device design.
  • Existing models may lack analytical simplicity or broad applicability.

Purpose of the Study:

  • To introduce a novel phase-based model for approximating bandgap centers in binary layered structures.
  • To derive an analytical approximation for the sensitivity of bandgap centers to refractive index changes.
  • To experimentally validate the model and demonstrate tunable optical properties.

Main Methods:

  • Development of a simple, analytical phase-based model for bandgap center approximation.
  • Derivation of analytical expressions for bandgap sensitivity to core refractive index.
  • Experimental demonstration using a hollow-core Bragg fiber filled with liquids of varying refractive indices.
  • Comparison of experimental results with theoretical predictions, including the new model.

Main Results:

  • A novel analytical model accurately approximates bandgap centers in binary layered structures.
  • The model predicts and experimental results confirm sensitive tunability of the fundamental bandgap.
  • Significant bandgap shifting was achieved by altering the core refractive index of a Bragg fiber.
  • Material dispersion was identified as a key factor influencing bandgap properties.

Conclusions:

  • The developed phase-based model offers a powerful tool for designing and analyzing binary layered structures.
  • Bragg structures exhibit broad and sensitive tunability, suitable for refractive index sensing applications.
  • Accurate modeling, considering material dispersion, is essential for predicting and controlling optical properties.