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<p>Metamaterials can achieve exceptional functionality through careful design of their mesoscale structure. Although engineered irregularities can be advantageous, current approaches largely conform to regular structures to preserve tractability. Here we contend that network theory, enriched with geometry and physics, provides a natural framework for modelling and designing metamaterials with controlled irregularities at relevant scales. We examine how this augmented network theory can facilitate the creation of irregular metamaterials with enhanced or novel properties and how metamaterial research, in turn, is opening new directions in the broader area of physical networks. Supported by machine learning and advances in&#xa0;self-assembly, the emerging field of irregular metamaterial networks is poised to transform the design and scalable manufacturing of new materials.</p>

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Irregular metamaterial networks

  • 期刊论文

  • 发表日期：

    2026年7月3日

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  • Thomas P. Wytock,
  • Chiara Daraio,
  • Heinrich M. Jaeger,
  • Christopher A. Schuh,
  • Lorenzo Valdevit,
  • Vincenzo Vitelli,
  • Adilson E. Motter

摘要

Metamaterials can achieve exceptional functionality through careful design of their mesoscale structure. Although engineered irregularities can be advantageous, current approaches largely conform to regular structures to preserve tractability. Here we contend that network theory, enriched with geometry and physics, provides a natural framework for modelling and designing metamaterials with controlled irregularities at relevant scales. We examine how this augmented network theory can facilitate the creation of irregular metamaterials with enhanced or novel properties and how metamaterial research, in turn, is opening new directions in the broader area of physical networks. Supported by machine learning and advances in self-assembly, the emerging field of irregular metamaterial networks is poised to transform the design and scalable manufacturing of new materials.