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Related Experiment Video

Updated: Jul 6, 2025

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

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

Published on: September 26, 2014

Evolving scattering networks for engineering disorder.

¹Intelligent Wave Systems Laboratory, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea. sunkyu.yu@snu.ac.kr.

Nature Computational Science

|January 4, 2024

Summary

This summary is machine-generated.

This study introduces evolving scattering networks to model wave phenomena in disordered materials. This approach enables precise control over scattering across multiple length scales for advanced material design.

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Last Updated: Jul 6, 2025

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Area of Science:

Physics
Network Science
Materials Science

Background:

Network science analyzes complex systems.
Wave-based networks are key for machine learning hardware like optical neural networks.
Evolving network models offer new possibilities for wave physics.

Purpose of the Study:

To develop the concept of evolving scattering networks for wave phenomena.
To model multi-particle interferences and scattering from disordered materials.
To bridge wave physics and network science for material complexity.

Main Methods:

Defined evolving scattering networks by links, node degrees, and evolution processes.
Modeled multi-particle interferences determining scattering.
Applied network concepts to material classification, microstructure screening, and stealthy hyperuniformity.

Main Results:

Demonstrated network-based material classification and screening.
Showcased preferential attachment in evolutions applied to stealthy hyperuniformity.
Achieved independent control of scattering across different length scales.

Conclusions:

Evolving scattering networks effectively model wave phenomena in disordered materials.
Revealed superdense material phases with short-range order.
The concept facilitates open-system material design by resolving multiscale complexities.