External Field‐Driven Adaptive Electromagnetic Wave Response Material: From Mechanisms to Applications

Guansheng Ma, Jing Li, Yuefeng Yan, Brindha Ramasubramanian, Seeram Ramakrishna, Xiaoxiao Huang · Wiley · 2025

The review explores advanced materials for adaptive electromagnetic wave response, addressing challenges in electromagnetic interference.

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Plain English summary

This review focuses on materials that can adapt their electromagnetic wave shielding and absorption properties in response to external fields. It covers various mechanisms such as force, thermal, and electric field control, highlighting how these materials can dynamically adjust their performance compared to traditional static solutions.

Why this matters

As electronic devices proliferate, electromagnetic interference becomes a significant challenge. Developing materials that can adaptively shield or absorb electromagnetic waves is crucial for improving device performance and reliability. This research provides insights into innovative materials that can meet these demands.

Key findings

  • Materials can switch between transmission, absorption, and reflection states.
  • External forces can dynamically control the electromagnetic response of materials.
  • Phase-change materials and magnetoelectric composites enable reversible switching.
  • Subwavelength metamaterials allow precise control over EM wave propagation.
  • The review identifies challenges and future research directions in EM wave materials.

What's new

The review systematically analyzes various mechanisms for controlling electromagnetic wave response, emphasizing dynamic adaptability over traditional static solutions.

Limitations

The abstract does not provide specific experimental results or commercial applications of the discussed materials.

Commercial context

The abstract does not indicate any commercial availability or readiness of the materials discussed.

Publication

Publisher
Wiley
Publication date
July 11, 2025
Research type
Paper
License
http://onlinelibrary.wiley.com/termsAndConditions#vor

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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-4o-mini-2024-07-18