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Recent Advances in Tunable Metasurfaces: Materials, Design, and Applications
Omar A M Abdelraouf1,2, Ziyu Wang2, Hailong Liu2
1School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371, Singapore.
ACS Nano
|August 17, 2022
Summary
Tunable metasurfaces, using active materials, offer advanced control over electromagnetic waves. Machine learning aids in designing these nanophotonic devices for diverse applications.
Area of Science:
- Nanophotonics
- Metamaterials Science
Background:
- Metasurfaces, 2D metamaterials, control electromagnetic waves.
- Active materials integration enhances metasurface tunability.
- Research in tunable metasurfaces is advancing rapidly.
Purpose of the Study:
- Review recent advances in tunable metasurfaces.
- Highlight active materials, tuning mechanisms, and design methodologies.
- Discuss practical applications and future perspectives.
Main Methods:
- Integration of active materials like PCMs, semiconductors, and LCs.
- Utilizing external stimuli for dynamic wave manipulation.
- Employing machine learning algorithms for design and physics development.
Main Results:
- Active materials enable fast switching, large modulation depth, and optical property contrast.
- Multifunctional tunable metasurfaces offer dynamic EM wave control.
- Emerging ML algorithms accelerate physics and design advancements.
Conclusions:
- Tunable metasurfaces represent a significant advancement in nanophotonics.
- The field is characterized by diverse material choices and design approaches.
- Future research will likely focus on further integration and ML-driven innovation.
