Roadmap on metamaterial theory, modelling and design

  • Bryn Davies
  • , Stefan Szyniszewski
  • , Marcelo A. Dias
  • , Leo de Waal
  • , Anastasia Kisil
  • , Valery P Smyshlyaev
  • , Shane Cooper
  • , Ilia V. Kamotski
  • , Marie Touboul
  • , Richard V. Craster
  • , James R. Capers
  • , Simon A.R. Horsley
  • , Robert W. Hewson
  • , Matthew Santer
  • , Ryan Murphy
  • , Dilaksan Thillaithevan
  • , Simon J. Berry
  • , Gareth J. Conduit
  • , Jacob Earnshaw
  • , Nicholas Syrotiuk
  • Oliver Duncan, Łukasz Kaczmarczyk, Fabrizio Scarpa, John B. Pendry, Marc Martí-Sabaté, Sébastien Guenneau, Daniel Torrent, Elena Cherkaev, Niklas Wellander, Andrea Alù, Katie H. Madine, Daniel J. Colquitt, Ping Sheng, Luke G. Bennetts, Anastasiia O. Krushynska, Zhaohang Zhang, Mohammad J. Mirzaali, Amir Zadpoor

Research output: Contribution to journalReview articlepeer-review

Abstract

This Roadmap surveys the diversity of different approaches for characterising, modelling and designing metamaterials. It contains articles covering the wide range of physical settings in which metamaterials have been realised, from acoustics and electromagnetics to water waves and mechanical systems. In doing so, we highlight synergies between the many different physical domains and identify commonality between the main challenges. The articles also survey a variety of different strategies and philosophies, from analytic methods such as classical homogenisation to numerical optimisation and data-driven approaches. We highlight how the challenging and many-degree-of-freedom nature of metamaterial design problems call for techniques to be used in partnership, such that physical modelling and intuition can be combined with the computational might of modern optimisation and machine learning to facilitate future breakthroughs in the field.

Original languageEnglish
Article number203002
JournalJournal of Physics D: Applied Physics
Volume58
Issue number20
DOIs
Publication statusPublished - 19 May 2025

Keywords

  • acoustic
  • artificial intelligence
  • electromagnetic
  • homogenisation
  • mechanical
  • modelling
  • optimisation

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