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
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....
Microstructures with engineered properties are critical to thermal management in aerospace and space applications. Due to the overwhelming number of microstructure design variables, traditional approaches to material optimization can have time-consuming
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optimization.surrogatefasterSurrogate models for partial-differential equations are widely used in the design of meta-materials to rapidly evaluate the behavior of composable components. However, the training cost of accurate surrogates by machine learning can rapidly increase with the number of variables....
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...
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 ...
A deep learning-assisted rapid design method for THz vortex wave metasurfaces is introduced, employing a residual neural network (ResNet) and a tandem strategy to quickly obtain meta-atoms meeting phase requirements and achieve integrated array assembly. Using this method, we designed and constructed...
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 ...