Towards a Circular Economy via Intelligent Metamaterials

Christos Liaskos, Ageliki Tsioliaridou, Sotiris Ioannidis · arXiv · 2018

Software-commandable intelligent metasurfaces/metamaterials are proposed as a design enabler to tune electromagnetic/acoustic/mechanical behavior and reduce waste via circular economy principles.

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Plain English summary

The study proposes using intelligent metasurfaces inside products and spaces to support circular economy goals. The key idea is that these metasurfaces can change their physical properties by receiving software commands, rather than being fixed at design time. The work starts with electromagnetic metamaterials and outlines a complete methodology for deploying them. It argues that this approach can help mitigate resource waste from inefficient or partially optimized designs and address security concerns. The abstract further states that the same principles can be extended to controlling mechanical properties, including micro-management of vibrations and heat, with the goal of enabling greater circular economy potential.

Why this matters

The abstract claims a circular-economy-oriented design framework using intelligent metasurfaces/metamaterials, including a proposed end-to-end deployment methodology for electromagnetic metamaterials and extension to mechanical-property control for vibration/heat management. No evidence in the abstract of prototypes, field testing, or commercialization; it presents proposals and methodology rather than demonstrated deployment.

Key findings

  • Intelligent metasurfaces are proposed to tune electromagnetic, acoustic, and mechanical properties via software commands.
  • A methodology is proposed for deploying electromagnetic metamaterials in products/spaces.
  • The approach is argued to mitigate resource waste from inefficient designs and partially optimized configurations, and to address security concerns.
  • The principles are proposed to extend to mechanical-property control for micro-management of vibrations and heat.

Limitations

The abstract does not report experimental validation, quantitative performance metrics, or specific implementation details; it mainly presents a proposed methodology and conceptual extension.

Publication

Publisher
arXiv
Publication date
July 16, 2018
Research type
Preprint
arXiv
1807.06006
Access
open

Tags

Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-5.4-nano-2026-03-17