Recent Progress in Metasurfaces: An Introductory Note from Fundamentals and Design Methods to Applications

Wei CHEN, Jiaqing SHEN, Yujie KE, Yuwei HU, Lin WU*, Jinfeng ZHU*, Zhaogang DONG*

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsBook ChapterResearchpeer-review

Abstract

Metasurfaces refer to the sub-wavelength nanostructures that are capable of manipulating the amplitude, phase, polarization, and other characteristics of light, to enable diverse applications across the ultraviolet, visible, infrared, and terahertz spectra. In this review paper, we aim to provide an introductory note on metasurfaces, from fundamentals and design methods to applications, such as biosensing, environmental monitoring, metalenses, optical cloaking, electromagnetic scattering, structural color, miniaturized devices, and others. Moreover, we also identify the key challenges and limitations of metasurfaces, such as fabrication, integration, optimization, tuning, signal processing, and analysis, and suggest possible directions and solutions for future research. At last, we envision several emerging and promising trends for metasurfaces, such as new materials and structures, new phenomena and mechanisms, machine learning, and artificial intelligence techniques. The review is expected to inspire future development in this exciting and rapidly evolving field of metasurface devices.
Original languageEnglish
Title of host publicationReviews and Advances in Functional Materials
EditorsXian Jun LOH, Ady SUWARDI
PublisherWorld Scientific
Pages1-33
Number of pages33
ISBN (Electronic)9789819806409
ISBN (Print)9789819806393
DOIs
Publication statusPublished - Mar 2025
Externally publishedYes

Funding

Z. D. would like to acknowledge the funding support from the Agency for Science, Technology and Research (A*STAR) under its AME IRG (Project No. A20E5c0093), Career Development Award grant (Project No. C210112019), MTC IRG (Project Nos.M21K2c0116 and M22K2c0088), the Quantum Engineering Programme 2.0 (Award No. NRF2021-QEP2-03-P09) and DELTA-Q2.0 (Project No. C230917005). J. Z. would like to acknowledge the funding support from NSFC (62175205), NSAF (U2130112) and the Youth Talent Support Program of Fujian Province (Eyas Plan of Fujian Province) [2022]. W. C. would like to acknowledge the funding supporting from the China Scholarship Council Scholarship(CSC No. 202306310153). J. S. would like to acknowledge the funding supporting from the China Scholarship Council Scholarship(CSC No. 202306310168

Keywords

  • Metamaterial
  • metasurface
  • deep learning
  • nanophotonics

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