Electrical transport in tunably disordered metamaterials

Naturally occurring materials are often disordered, with the dependence of their bulk properties on structure being challenging to predict due to the lack of underlying crystalline axes. In this paper, we develop a digital pipeline from algorithmically created configurations with tunable disorder to 3D printed materials, as a tool to aid in the study of such materials, using electrical resistance as a test case. The designed material begins with a random point cloud that is iteratively evolved using Lloyd's algorithm to approach uniformity, with the points being connected via a Delaunay triangulation to form a disordered network metamaterial. Utilizing laser powder bed fusion additive manufacturing with stainless steel 17-4 PH and titanium alloy Ti-6Al-4V, we are able to experimentally measure the bulk electrical resistivity as a function of the degree of disorder in the network. The effective resistance of the structure calculated from the combinatorial weighted graph Laplacian is in good agreement with experimental data. However, the effective resistance is sensitive to anisotropy and global network topology, preventing a single network statistic or disorder characterization from predicting global resistivity.

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Publication Details

Journal
Physical review. E
Published
2025-09-25
DOI
https://doi.org/10.1103/6bph-n6zj
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Electrical transport in tunably disordered metamaterials

Karen E. Daniels, Sourabh Saptarshi, Katherine A. Newhall, Christopher Rock et al.
Physical review. E
Metamaterials and Metasurfaces Applications
article

Electrical transport in tunably disordered metamaterials

Karen E. Daniels, Sourabh Saptarshi, Katherine A. Newhall, Christopher Rock, Carmen Lee, Caitlyn Obrero, Mastawal Tirfe
article en

Abstract

Naturally occurring materials are often disordered, with the dependence of their bulk properties on structure being challenging to predict due to the lack of underlying crystalline axes. In this paper, we develop a digital pipeline from algorithmically created configurations with tunable disorder to 3D printed materials, as a tool to aid in the study of such materials, using electrical resistance as a test case. The designed material begins with a random point cloud that is iteratively evolved using Lloyd's algorithm to approach uniformity, with the points being connected via a Delaunay triangulation to form a disordered network metamaterial. Utilizing laser powder bed fusion additive manufacturing with stainless steel 17-4 PH and titanium alloy Ti-6Al-4V, we are able to experimentally measure the bulk electrical resistivity as a function of the degree of disorder in the network. The effective resistance of the structure calculated from the combinatorial weighted graph Laplacian is in good agreement with experimental data. However, the effective resistance is sensitive to anisotropy and global network topology, preventing a single network statistic or disorder characterization from predicting global resistivity.

Physical review. EVol. 112(3)
University of North Carolina at Chapel Hill (US), North Carolina State University (US)
Openalex Percentile: Top 82%
Metamaterials and Metasurfaces Applications
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