Phase‐Sensitive Engineering of Optical Disordered Materials Using Heterogeneous Networks

ABSTRACT Heterogeneous networks provide a universal framework for extracting subsystem‐level features of a complex system, which are critical in graph coloring, pattern classification, and motif identification. In such networks, distinct groups of nodes and links can be decomposed into different types of multipartite networks, whose nodes are partitioned into disjoint sets with edges permitted only across these sets. In optics, this decomposition motivates a network‐based analysis of multiphase optical materials by introducing multipartite networks to model intra‐ and inter‐phase electromagnetic interactions. Here, we develop heterogeneous network modeling of wave scattering to engineer multiphase random heterogeneous materials. We devise multipartite network decomposition determined by material phases, which is examined using uni‐ and bi‐partite network examples for two‐phase multiparticle systems embedded in a host medium. We show that the directionality of the bipartite network governs the phase‐sensitive alteration of microstructures. The proposed modeling enables a network‐based design to achieve phase‐sensitive microstructural features, while almost preserving the overall scattering response. With examples of designing quasi‐isoscattering stealthy hyperuniform materials, our results provide a recipe for engineering multiphase materials for wave functionalities.

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Publication Details

Journal
Advanced Optical Materials
Published
2026-02-25
DOI
https://doi.org/10.1002/adom.202503499
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
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article

Phase‐Sensitive Engineering of Optical Disordered Materials Using Heterogeneous Networks

Sunkyu Yu, Kunwoo Park, Ikbeom Lee, Gitae Lee et al.
Advanced Optical Materials
Metamaterials and Metasurfaces Applications
article

Phase‐Sensitive Engineering of Optical Disordered Materials Using Heterogeneous Networks

Sunkyu Yu, Kunwoo Park, Ikbeom Lee, Gitae Lee, Namkyoo Park, Seungmok Youn
article en

Abstract

ABSTRACT Heterogeneous networks provide a universal framework for extracting subsystem‐level features of a complex system, which are critical in graph coloring, pattern classification, and motif identification. In such networks, distinct groups of nodes and links can be decomposed into different types of multipartite networks, whose nodes are partitioned into disjoint sets with edges permitted only across these sets. In optics, this decomposition motivates a network‐based analysis of multiphase optical materials by introducing multipartite networks to model intra‐ and inter‐phase electromagnetic interactions. Here, we develop heterogeneous network modeling of wave scattering to engineer multiphase random heterogeneous materials. We devise multipartite network decomposition determined by material phases, which is examined using uni‐ and bi‐partite network examples for two‐phase multiparticle systems embedded in a host medium. We show that the directionality of the bipartite network governs the phase‐sensitive alteration of microstructures. The proposed modeling enables a network‐based design to achieve phase‐sensitive microstructural features, while almost preserving the overall scattering response. With examples of designing quasi‐isoscattering stealthy hyperuniform materials, our results provide a recipe for engineering multiphase materials for wave functionalities.

Advanced Optical MaterialsVol. 14(11)
Seoul National University (KR), Photonic Systems (United States) (US)
Openalex Percentile: Top 32%
Metamaterials and Metasurfaces Applications
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