Synergizing deep learning and phase change materials for four-state broadband multifunctional metasurfaces in the visible range

Md. Ehsanul Karim, Md. Redwanul Karim, Sajid Muhaimin Choudhury
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Abstract

In this article, we report, for the first time, broadband multifunctional metasurfaces with more than four distinct functionalities. The constituent meta-atoms combine two different phase change materials, and in a multi-stage configuration. Finite-difference time-domain simulations demonstrate a broadband reflection amplitude switching between the four states in visible range due to the enhanced cavity length modulation effect from the cascaded Fabry–Perot cavities, overcoming the inherent small optical contrast between the phase change material (PCM) states. This, along with the reflection phase control between the four states, allows us to incorporate both amplitude and phase-dependent properties in the same metasurface — achromatic deflection, wavelength beam splitting, achromatic focusing, and broadband absorption, overcoming the limitations of previous functionality switching mechanisms for the visible band. We have used a Tandem Neural network-based inverse design scheme to ensure the stringent requirements of different states are realized. We have used two forward networks for predicting the reflection amplitude and phase for a meta-atom within the pre-defined design space. The excellent prediction capability of these surrogate models is utilized to train the reverse network. The inverse design network, trained with a labeled data set, is capable of efficiently navigating through the vast parametric space to produce the optimized meta-units given the desired figure-of-merits in terms of reflection amplitude and phase for the four states. The optical characteristics of two inverse-designed metasurfaces have been evaluated as test cases for two different sets of design parameters in the four states. Both structures demonstrate the four desired broadband functionalities while closely matching the design requirements, suggesting their potential in visible-range portable medical imaging devices. The findings of this work will open new horizons for active metasurface design with broadband complex multifunctionalities in different spectral bands.
协同深度学习和相变材料,实现可见光范围内的四态宽带多功能元表面
在这篇文章中,我们首次报道了具有四种以上不同功能的宽带多功能元表面。其组成元原子结合了两种不同的相变材料,并采用多级配置。有限差分时域模拟显示,由于级联法布里-珀罗腔的腔长调制效应增强,克服了相变材料(PCM)状态之间固有的微小光学对比,在可见光范围内的四种状态之间实现了宽带反射振幅切换。这一点以及四种状态之间的反射相位控制,使我们能够在同一个元表面中同时集成振幅和相位相关特性--消色差偏转、波长分束、消色差聚焦和宽带吸收,从而克服了以往可见光波段功能切换机制的局限性。我们采用了基于串联神经网络的逆向设计方案,以确保实现不同状态的严格要求。我们使用了两个前向网络,在预定义的设计空间内预测元原子的反射幅度和相位。我们利用这些代用模型的出色预测能力来训练反向网络。使用标注数据集训练的反向设计网络能够高效地在广阔的参数空间中导航,以产生最优化的元胞,并在四个状态的反射幅度和相位方面达到所需的优点。作为四种状态下两组不同设计参数的测试案例,对两个反向设计元表面的光学特性进行了评估。这两种结构都展示了所需的四种宽带功能,同时与设计要求非常吻合,这表明它们在可见光范围便携式医疗成像设备中具有潜力。这项工作的发现将为在不同光谱波段具有宽带复杂多功能性的有源元表面设计开辟新天地。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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