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<p>Nature offers remarkable examples of complex photonic architectures such as those responsible for the iridescent colors of butterfly wings that emerge spontaneously during growth, well before any centralized control takes place. Arising from local rules, these structures exhibit advanced optical functionalities, such as photonic band gaps, without relying on in-situ optimization or top-down design. Inspired by biological morphogenesis, we introduce an optimization-free approach for the automated generation of self-organized freeform waveguides that adapt to complex propagation paths. Our method relies on local reaction-diffusion dynamics to produce robust, spatially distributed structures. In contrast to conventional waveguides based on periodic media, which impose strong geometric constraints and require extensive fine-tuning, the proposed structures support nontrivial geometries while maintaining photonic band gap behavior. We experimentally demonstrate that these self-organized waveguides achieve improved transmission efficiency along complex paths. This optimization-free strategy enables the automated design of advanced electromagnetic components with intrinsic adaptability and resilience.</p>

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Self-organized freeform waveguiding

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月8日

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  • Fadhila Chehami,
  • Cyril Decroze,
  • David R. Smith,
  • Thomas Fromentèze

摘要

Nature offers remarkable examples of complex photonic architectures such as those responsible for the iridescent colors of butterfly wings that emerge spontaneously during growth, well before any centralized control takes place. Arising from local rules, these structures exhibit advanced optical functionalities, such as photonic band gaps, without relying on in-situ optimization or top-down design. Inspired by biological morphogenesis, we introduce an optimization-free approach for the automated generation of self-organized freeform waveguides that adapt to complex propagation paths. Our method relies on local reaction-diffusion dynamics to produce robust, spatially distributed structures. In contrast to conventional waveguides based on periodic media, which impose strong geometric constraints and require extensive fine-tuning, the proposed structures support nontrivial geometries while maintaining photonic band gap behavior. We experimentally demonstrate that these self-organized waveguides achieve improved transmission efficiency along complex paths. This optimization-free strategy enables the automated design of advanced electromagnetic components with intrinsic adaptability and resilience.