This paper reviews the most recent advances in using Machine Learning (ML) and Deep Learning (DL) for inverse design of nanophotonic devices. In the past, conventional optimization techniques have been used as a design tool to optimize the metasurface and nanodevice structures but in recent years...
使用深度学习以张量流/角点和约5600 Lumerical模拟作为训练数据来优化单元素超表面参数。 在垂直入射光下进行的模拟。 定义超表面的特征是1.长度(L)2.宽度(W)3.高度(H)4.x方向周期性(Ux)5. y方向周期性(Uy)。 输出是周围和整个可见光的相位光谱,增量为5 nm(450 nm-800 nm)。 对于PowerPoint,有动画,所以...
A“super-mirror” having ultrahigh infrared reflectance is achieved by an optimized photonic contrast grating metasurface. Finding ways to achieve this exceptional performance can be enabled by implementing global optimization and machine learning elements, such as Bayesian optimization and genetic algorithm....
Also, our work is instructive for the implementation of DL in the design and optimization of multifunctional IR stealth materials. Keywords: infrared stealth; multi-band stealth; metasurface; deep learning1. Introduction Infrared (IR) stealth technology, aimed at reducing the thermal signature of ...
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splitter -- an array of gap-plasmon based nanostructure which on illumination with a light beam shows PSHE due to rapid gradient of phase on the metasurface. The optimization is done in near infrared region(NIR) and extended to optical for high power efficiency in the reflected LCP and RCP ...
However, this design approach increases the structural parameters, demanding a high level of design and optimization expertise from researchers. The development of deep learning has enabled the rapid design of micro and nanodevices [37], [38]. 2019 Qiu et al. [39] proposed a metasurface design ...
Section III Deep Learning for Metasurface Design 197 6 Generative Machine Learning for Photonic Design 199 Dayu Zhu, Zhaocheng Liu, and Wenshan Cai 6.1 Brief Introduction to Generative Models 199 6.1.1 Probabilistic Generative Model 199 6.1.2 Parametrization and Optimization with Gen...
Recently, deep learning (DL) has been used for inverse design and optimization of metasurface-based nanostructures for directed functionality8,9,10,11,12,13. With the use of multiple models based on DL, computational expense has been significantly reduced, and design and optimization processes have...
This approach has been shown to be effective for increasing the robustness of photonic crystal waveguides [9], contiguous supercell metasurfaces [10], and nanolenses [39]. Another approach has handled the additional gradients as separate steps in the optimization. In this case, each iteration ...