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Inverse Design of On-Chip Thermally Tunable Varifocal Metalens Based on Silicon Metalines
- Source :
- IEEE Access, Vol 9, Pp 73453-73466 (2021)
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- High-contrast transmitarray (HCTA) metasurfaces, named as metalines in this article, a category of lithographically defined on-chip diffractive elements with minimized scattering loss, enables parallel on-chip optical signal processing. While high-performance devices with different functionalities are reported, most of them are static, and their optical functions are fixed after fabrication. However, dynamically tunable metasurfaces are of essential need in many modern optical systems. Here, we employ an inverse design method, combining FDTD parameter sweep with Fourier-optics simulations, to design thermally-controlled varifocal metalenses. Thermal tunability is accomplished through the thermo-optical effect of silicon. Maximum focal length tunability of 12% and 24% are demonstrated for $400~\mu \text{m}$ and $200~\mu \text{m}$ aperture varifocal metalens doublets at the wavelength of $1.55~\mu \text{m}$ , respectively. The focusing efficiency is more than 74% for the whole temperature range. The $400~\mu \text{m}$ and $200~\mu \text{m}$ aperture metalenses are able to concentrate the input beam to spot sizes less than one wavelength and two wavelengths, respectively. This paves the way for dynamically controlled silicon photonics computational chips.
- Subjects :
- General Computer Science
Silicon
Aperture
varifocal metalens
chemistry.chemical_element
Inverse
Physics::Optics
02 engineering and technology
01 natural sciences
Photonic integrated circuits
010309 optics
Optics
0103 physical sciences
ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION
Focal length
General Materials Science
inverse design
Physics
Silicon photonics
silicon photonics
business.industry
High Energy Physics::Phenomenology
General Engineering
Finite-difference time-domain method
silicon metaline
021001 nanoscience & nanotechnology
neural networks
TK1-9971
Wavelength
chemistry
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING
Computer Science::Programming Languages
Electrical engineering. Electronics. Nuclear engineering
Photonics
0210 nano-technology
business
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....6c3c9f1a97015113e72a381294ff3819