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热重构超表面透镜

Thermally reconfigurable metalens.

作者信息

Archetti Anna, Lin Ren-Jie, Restori Nathanaël, Kiani Fatemeh, Tsoulos Ted V, Tagliabue Giulia

机构信息

Laboratory of Nanoscience for Energy Technologies (LNET), STI, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland.

出版信息

Nanophotonics. 2022 May 30;11(17):3969-3980. doi: 10.1515/nanoph-2022-0147. eCollection 2022 Sep 2.

DOI:10.1515/nanoph-2022-0147
PMID:36059378
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9394514/
Abstract

Reconfigurable metalenses are compact optical components composed by arrays of meta-atoms that offer unique opportunities for advanced optical systems, from microscopy to augmented reality platforms. Although poorly explored in the context of reconfigurable metalenses, thermo-optical effects in resonant silicon nanoresonators have recently emerged as a viable strategy to realize tunable meta-atoms. In this work, we report the proof-of-concept design of an ultrathin (300 nm thick) and thermo-optically reconfigurable silicon metalens operating at a fixed, visible wavelength (632 nm). Importantly, we demonstrate continuous, linear modulation of the focal-length up to 21% (from 165 μm at 20 °C to 135 μm at 260 °C). Operating under right-circularly polarized light, our metalens exhibits an average conversion efficiency of 26%, close to mechanically modulated devices, and has a diffraction-limited performance. Overall, we envision that, combined with machine-learning algorithms for further optimization of the meta-atoms, thermally reconfigurable metalenses with improved performance will be possible. Also, the generality of this approach could offer inspiration for the realization of active metasurfaces with other emerging materials within field of thermo-nanophotonics.

摘要

可重构超颖透镜是由超原子阵列组成的紧凑型光学元件,为从显微镜到增强现实平台等先进光学系统提供了独特的机遇。尽管在可重构超颖透镜的背景下研究较少,但共振硅纳米谐振器中的热光效应最近已成为实现可调谐超原子的一种可行策略。在这项工作中,我们报告了一种超薄(300纳米厚)且热光可重构的硅超颖透镜的概念验证设计,该超颖透镜在固定的可见光波长(632纳米)下工作。重要的是,我们展示了焦距高达21%的连续线性调制(从20°C时的165微米到260°C时的135微米)。在右旋圆偏振光下工作时,我们的超颖透镜表现出26%的平均转换效率,接近机械调制器件,并且具有衍射极限性能。总体而言,我们设想,结合机器学习算法对超原子进行进一步优化,将有可能实现性能更优的热可重构超颖透镜。此外,这种方法的通用性可能会为在热纳米光子学领域中利用其他新兴材料实现有源超表面提供灵感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbaa/11501548/3ce34f22a1e6/j_nanoph-2022-0147_fig_003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbaa/11501548/fcfc05dbc933/j_nanoph-2022-0147_fig_001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbaa/11501548/83ce7957d92d/j_nanoph-2022-0147_fig_002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbaa/11501548/3ce34f22a1e6/j_nanoph-2022-0147_fig_003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbaa/11501548/fcfc05dbc933/j_nanoph-2022-0147_fig_001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbaa/11501548/83ce7957d92d/j_nanoph-2022-0147_fig_002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbaa/11501548/3ce34f22a1e6/j_nanoph-2022-0147_fig_003.jpg

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