Time-Effective Simulation Methodology for Broadband Achromatic Metalens Using Deep Neural Networks
Metasurface has demonstrated potential and novel optical properties in previous research. The prevailing method of designing a macroscale metasurface is based on the local periodic approximation. Such a method relies on the pre-calculated data library, including phase delay and transmittance of the...
Main Authors: | Chun-Yuan Fan, Guo-Dung J. Su |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | Nanomaterials |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-4991/11/8/1966 |
Similar Items
-
A Broadband Achromatic Dielectric Planar Metalens in Mid-IR Range
by: Ye Yuan, et al.
Published: (2022-09-01) -
Broadband achromatic metalens design based on predictive neural network and particle swarm optimization-genetic algorithm
by: Cheng Zhang, et al.
Published: (2023-01-01) -
Continuously varifocal metalens for broadband achromatic focusing of terahertz waves
by: Xiao-Qiang Jiang, et al.
Published: (2023-09-01) -
Broadband Achromatic Metalens in the Long-Wave Infrared Regime
by: Yongjian Zheng, et al.
Published: (2023-01-01) -
Broadband Achromatic Metalens for Tunable Focused Vortex Beam Generation in the Near-Infrared Range
by: Lvrong Zhao, et al.
Published: (2023-10-01)