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Tunable holographic metasurfaces for augmented and virtual reality.
Akeshi Aththanayake1, Andrew Lininger1, Cataldo Strangi2
1Department of Physics, Case Western Reserve University, 2076 Adelbert Rd., Cleveland, OH 44106, USA.
Nanophotonics (Berlin, Germany)
|November 17, 2025
Summary
Tunable holographic metasurfaces can revolutionize augmented and virtual reality (AR/VR) devices by overcoming current limitations. Focus on manufacturable, electrically tunable metasurfaces and machine learning optimization is key for future advancements.
Area of Science:
- Optics and Photonics
- Materials Science
- Computer Science
Background:
- Augmented and virtual reality (AR/VR) technologies are rapidly expanding across various sectors.
- Current AR/VR devices face limitations hindering widespread adoption.
- Holographic metasurfaces offer precise light control at the subwavelength scale, promising AR/VR advancements.
Purpose of the Study:
- To examine challenges and opportunities in AR/VR and holographic metamaterials.
- To explore how advanced metasurface technologies can overcome current AR/VR device limitations.
- To propose directions for future research in tunable holographic metasurfaces for AR/VR.
Main Methods:
- Reviewing current limitations in AR/VR hardware.
- Investigating tunable holographic metasurface technologies.
- Proposing liquid crystal integration and excitonic tuning in 2D materials for metasurfaces.
- Highlighting the role of machine learning in metasurface design optimization.
Main Results:
- Tunable holographic metasurfaces are identified as a key technology for next-generation AR/VR.
- Easily manufacturable and electrically tunable metasurfaces are crucial for practical AR/VR integration.
- Machine learning can accelerate the exploration of complex metasurface design spaces.
Conclusions:
- Advancements in tunable holographic metasurfaces, particularly those using liquid crystals or 2D materials with excitonic tuning, are vital for overcoming AR/VR limitations.
- Integrating machine learning for metasurface optimization will be essential for realizing their full potential in AR/VR applications.
- This research highlights a promising pathway for developing revolutionary AR/VR devices.
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