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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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Characterizing the hyperuniformity of disordered network metamaterials.

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  • 1University of North Carolina at Chapel Hill, Department of Mathematics, Chapel Hill, North Carolina, USA.

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Summary
This summary is machine-generated.

Network structures derived from hyperuniform point patterns partially inherit hyperuniformity. The degree of inheritance depends on the tessellation method and point pattern disorder, not beam shape.

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Area of Science:

  • Materials Science
  • Physics
  • Computational Geometry

Background:

  • Metamaterials offer diverse properties through ordered and disordered structures.
  • Hyperuniform materials suppress large-scale density fluctuations.
  • Network materials possess desirable physical characteristics.

Purpose of the Study:

  • To investigate hyperuniformity inheritance in network structures from tessellating hyperuniform point patterns.
  • To analyze how different tessellation schemes affect hyperuniformity in network materials.

Main Methods:

  • Examined Delaunay, Voronoi, Delaunay-centroidal, and Gabriel tessellations of hyperuniform and nonhyperuniform point patterns in 2D and 3D.
  • Utilized spectral density to analyze density fluctuations in thickened tessellations (2D).
  • Introduced a variance-based measurement for direct characterization of network structures (2D and 3D).

Main Results:

  • No tessellation scheme fully inherited the hyperuniformity of the progenitor point pattern.
  • Hyperuniformity inheritance is sensitive to the tessellation method.
  • Inheritance depends on short- and long-range disorder in the point pattern.
  • Beam shape did not influence hyperuniformity when creating two-phase media from networks.

Conclusions:

  • Network structures derived from hyperuniform point patterns exhibit partial hyperuniformity.
  • Tessellation scheme and point pattern disorder are key factors influencing hyperuniformity inheritance.
  • Findings provide insights into designing advanced disordered hyperuniform network metamaterials.