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Updated: Jan 21, 2026

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces
Published on: June 7, 2019
On-chip wavefront shaping with dielectric metasurface.
Zi Wang1, Tiantian Li1, Anishkumar Soman1
1Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, 19711, USA.
This study introduces a novel one-dimensional high-contrast transmitarray (HCTA) metasurface lens. This metasurface enables efficient on-chip optical signal processing with minimal scattering loss, paving the way for advanced integrated photonic devices.
Area of Science:
- Photonics and Optical Engineering
- Materials Science
- Nanotechnology
Background:
- Metasurfaces enable on-chip wavefront manipulation for parallel optical signal processing.
- Existing 2D metasurfaces suffer from scattering loss, limiting large-scale integration.
- High-contrast transmitarray (HCTA) metasurfaces offer a solution to minimize scattering loss.
Purpose of the Study:
- To demonstrate a one-dimensional HCTA-based lens on a silicon-on-insulator substrate.
- To showcase cascaded HCTA meta-systems for advanced optical functionalities.
- To explore the potential of HCTA meta-systems for on-chip transformation optics and signal processing.
Main Methods:
- Fabrication of a one-dimensional HCTA lens on a silicon-on-insulator platform.
- Characterization of transmission loss and bandwidth performance.
- Cascading three HCTA layers to create a meta-system for Fourier transformation and differentiation.
Main Results:
- Achieved high transmission (<1 dB loss) over a 200 nm bandwidth with the 1D HCTA lens.
- Demonstrated meta-system functionalities including Fourier transformation and differentiation through cascaded HCTAs.
- Validated the low scattering loss characteristics of the HCTA metasurface design.
Conclusions:
- The developed 1D HCTA metasurface lens offers efficient, low-loss on-chip optical signal processing.
- Cascaded HCTA meta-systems can perform complex optical functions like mathematical operations.
- This technology holds promise for integrated imaging, sensing, and quantum information processing applications.
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