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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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Electrical transport in tunably disordered metamaterials.

Caitlyn Obrero1, Mastawal Tirfe2, Carmen Lee2

  • 1North Carolina State University, Department of Materials Science and Engineering, Raleigh, North Carolina 27695, USA.

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Researchers created a digital pipeline to 3D print disordered network metamaterials. This method allows for the study of how structural disorder affects electrical resistivity in materials lacking crystalline structure.

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Area of Science:

  • Materials Science
  • Additive Manufacturing
  • Computational Materials Science

Background:

  • Naturally occurring materials often exhibit disorder, complicating the prediction of bulk properties due to the absence of crystalline axes.
  • Understanding structure-property relationships in disordered materials is crucial for designing advanced functional materials.

Purpose of the Study:

  • To develop a digital pipeline for creating and characterizing disordered network metamaterials.
  • To investigate the relationship between tunable disorder and electrical resistivity in 3D printed materials.
  • To establish a link between computational models and experimental measurements of disordered materials.

Main Methods:

  • Algorithmic generation of disordered configurations using Lloyd's algorithm and Delaunay triangulation.
  • Additive manufacturing via laser powder bed fusion (LBF) using stainless steel 17-4 PH and Ti-6Al-4V.
  • Experimental measurement of bulk electrical resistivity.
  • Calculation of effective resistance using combinatorial weighted graph Laplacian.

Main Results:

  • Successful 3D printing of disordered network metamaterials with controlled disorder.
  • Experimental electrical resistivity measurements correlated with the degree of network disorder.
  • Computational effective resistance calculations showed good agreement with experimental data.
  • Identified sensitivity of effective resistance to anisotropy and global network topology.

Conclusions:

  • The developed digital pipeline provides a viable tool for studying disordered materials.
  • A single network statistic is insufficient to predict global resistivity due to sensitivity to topological features.
  • Further research is needed to refine predictive models for electrical properties in complex disordered structures.