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May 2, 2026Frontiers in Antennas and PropagationOpen Access

Can we trust AI-assisted technical writing in electromagnetics? characteristic mode analysis for metasurface design as a stress test

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Authors

MHMohamed Z. M. HamdallaSRSayan Roy

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Overview

Tutorial reviews characteristic mode analysis for metasurface design, suggesting AI can draft reliable engineering content.

Key Points

  • The article assesses whether AI can draft a reliable engineering tutorial on characteristic mode analysis for metasurface design.
  • AI-assisted drafting of a tutorial-style review on CMA for metasurfaces.
  • Synthesis of CMA formulations relevant to design tasks including bandwidth enhancement and phase control.
  • Citation-verification and self-consistency audit to ensure scientific reliability in AI-generated content.
  • Successfully demonstrates that AI can draft coherent technical explanations on CMA.
  • Provides practical guidance for implementing CMA in metasurface design tasks.
  • Illustrates a workflow for citation verification and self-consistency in AI-assisted writing.

Cite This Study

Hamdalla et al. (2026) studied this question.

synapsesocial.com/papers/69f5939871405d493affea36https://doi.org/10.3389/fanpr.2026.1808402
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