Optimization for Si Nano-Pillar-Based Broadband Achromatic Metalens
An innovative optimization algorithm, named the hybrid particle swarm and genetic algorithm (PSO_GA), is proposed for designing broadband achromatic metalenses. A database is first constructed by scanning the parameters of the unit cell of the metalenses using FDTD software, mapping each unit cell t...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10415480/ |
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| Summary: | An innovative optimization algorithm, named the hybrid particle swarm and genetic algorithm (PSO_GA), is proposed for designing broadband achromatic metalenses. A database is first constructed by scanning the parameters of the unit cell of the metalenses using FDTD software, mapping each unit cell to its phase modulation capability. The PSO_GA is then utilized to identify the optimal phase matrix that minimizes chromatic aberration for a metalens operating within a specific wave band. Using the PSO_GA, a broadband achromatic metalens is designed and its performance is validated by simulation. The results reveal that the designed metalens successfully focuses light in a wide band (1000 nm∼1250 nm), achieving a mean focusing efficiency of up to 58%. This metalens design method offers a solution for the intelligent design of flat optical devices. |
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| ISSN: | 1943-0655 |