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Related Concept Videos

X-ray Crystallography02:18

X-ray Crystallography

The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
Diffraction
Diffraction is the change in the direction of travel experienced by an electromagnetic wave when it encounters a physical barrier whose dimensions are comparable to those of the wavelength of the light. X-rays are electromagnetic radiation with wavelengths about as long as the distance between neighboring...
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Metallic Solids

Metallic solids such as crystals of copper, aluminum, and iron are formed by metal atoms. The structure of metallic crystals is often described as a uniform distribution of atomic nuclei within a “sea” of delocalized electrons. The atoms within such a metallic solid are held together by a unique force known as metallic bonding that gives rise to many useful and varied bulk properties.
All metallic solids exhibit high thermal and electrical conductivity, metallic luster, and malleability. Many...
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Schottky defects arise when some lattice points in a crystal, such as those in NaCl, remain unoccupied, creating lattice vacancies without disturbing the overall electrical neutrality of the crystal. This defect is common in ionic crystals where the positive and negative ions are similar in size, as seen in sodium chloride and cesium chloride. The presence of Schottky defects enables the crystal to conduct electricity to a small extent through an ionic mechanism. Electric fields cause nearby...
Lattice Energies of Ionic Crystals01:27

Lattice Energies of Ionic Crystals

Lattice energy represents the energy released when gaseous cations and anions combine to form an ionic solid, reflecting the strength of electrostatic interactions within the crystal. This process is fundamentally governed by Coulombic attraction between oppositely charged ions, where the potential energy varies inversely with the interionic distance and directly with the product of ionic charges. As ions approach one another, the electrostatic energy becomes increasingly negative, indicating a...
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Imperfections in Crystal Structure: Point, Line and Plane Defects

A perfect crystal, in theory, has a uniform structure with the same unit cell and lattice points throughout. However, any deviation from this periodic arrangement is known as an imperfection or defect. These defects can be categorized into three types: point, line, and plane defects.Point defects occur when there is a deviation from the ideal due to missing atoms, displaced atoms, or additional atoms. These imperfections might occur due to imperfect packing during crystallization or because of...
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Updated: Jul 15, 2026

Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials
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Published on: September 26, 2014

Correlation effects in disordered metallic photonic crystal slabs.

D Nau1, A Schönhardt, Ch Bauer

  • 1Institut für Angewandte Physik, Universität Bonn, 53115 Bonn, Germany.

Physical Review Letters
|May 16, 2007
PubMed
Summary

Correlations in disordered metallic photonic crystals significantly alter optical properties. Nearest-neighbor correlations create distinct spectral features like peak reduction and broadening due to excitation effects.

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Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials
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Area of Science:

  • Condensed matter physics
  • Photonics and optical materials

Background:

  • Disordered metallic photonic crystal slabs exhibit complex optical properties.
  • Understanding the role of correlations in these properties is crucial for material design.

Purpose of the Study:

  • To investigate the influence of correlations on optical properties of disordered metallic photonic crystal slabs.
  • To develop a theoretical framework for quantitatively calculating these optical properties.

Main Methods:

  • Experimental analysis of optical properties.
  • Theoretical modeling incorporating different disorder models and nearest-neighbor correlations.

Main Results:

  • Identified characteristic spectral features, including peak reduction and inhomogeneous broadening.
  • Quantitatively calculated optical properties based on correlation models.
  • Attributed spectral features to reduced excitation efficiencies and multiple resonance excitations.

Conclusions:

  • Nearest-neighbor correlations are key determinants of optical properties in these systems.
  • The developed theory accurately predicts spectral features arising from correlations.
  • Findings provide insights into controlling optical responses in disordered photonic materials.