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基于神经网络实现高自由度定制超表面的电场。

Customizing the electric field of metalens with high degrees of freedom based on neural network.

作者信息

Zhang Quansheng, Guo Di, Shen Changsheng, Chen Zhaofu, Fan Hehong, Lv Changgui, Wang Qilong, Bai Ningfeng

机构信息

School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China.

出版信息

Nanophotonics. 2025 Apr 14;14(12):2187-2198. doi: 10.1515/nanoph-2025-0032. eCollection 2025 Jun.

Abstract

The metasurfaces are able to flexibly control electromagnetic waves. However, their design necessitates strict phase matching, which requires high computational load, and its control method has low flexibility. This paper proposes a novel method for the customization of the electric field of metalens with high degrees of freedom based on an improved Pixel Generative Adversarial Network (I-pixGAN). This I-pixGAN can design the phase distribution of the metalens according to the customized target electric field, and the constructed metalens based on this phase can modulate the target electric field. The results show that the proposed I-pixGAN can arbitrarily control the position of the focus in three-dimensional space, where the focus position is offset within one wavelength. Therefore, it is not need to strictly follow the electric field distribution characteristics, and it can flexibly construct unknown electric field, realizing a highly free electric field customization method in three-dimensional space, providing a new way for electric field operation. This paper promotes the development of electric focusing systems, not only improving focusing accuracy but also enhancing system flexibility and promoting the automation and intelligence of optical and terahertz systems.

摘要

超表面能够灵活地控制电磁波。然而,它们的设计需要严格的相位匹配,这需要高计算量,并且其控制方法灵活性较低。本文提出了一种基于改进的像素生成对抗网络(I-pixGAN)的高自由度定制金属透镜电场的新方法。这种I-pixGAN可以根据定制的目标电场设计金属透镜的相位分布,基于此相位构建的金属透镜可以调制目标电场。结果表明,所提出的I-pixGAN可以在三维空间中任意控制焦点位置,焦点位置在一个波长范围内偏移。因此,无需严格遵循电场分布特性,并且可以灵活构建未知电场,实现三维空间中高度自由的电场定制方法,为电场操作提供了新途径。本文推动了电聚焦系统的发展,不仅提高了聚焦精度,还增强了系统灵活性,促进了光学和太赫兹系统的自动化和智能化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af5e/12147552/adcea85e4d55/j_nanoph-2025-0032_fig_001.jpg

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