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...
Deep learning for electromagnetically induced transparency (EIT) metasurface optimization design In order to accelerate the design process of electromagnetically induced transparency (EIT) metasurface, a deep learning-based EIT metasurface design metho... L Zhu,C Zhang,J Guo,... - IOP Publishing Ltd ...
We expect the elegant integration of multi-resonant metasurfaces with small-data learning theory will enable low-profile advanced instruments for fundamental science studies and real-world applications.#Hyperspectral imagers play a vital role in material identification, but traditionally, they have been ...
more accuracy, less design time, and more flexibility, machine learning has been entered in various wave-interaction phenomena, such as Electromagnetic Compatibility (EMC)24,25, Antenna Optimization and Design26,27, All-Dielectric Metasurface28, Optical and photonic structures29, and Plasmonic nanostruct...
4、Extreme Beam-forming with Impedance Metasurfaces Featuring Embedded Sources and Auxiliary Surface Wave Optimization Gengyu Xu, Vasileios G. Ataloglou, Sean V. Hum, George V. Eleftheriades https://arxiv.org/pdf/2107.12025 论文提出了一种端到端的紧凑型无源无损超表面(MTS)天线的设计方案。整个系统...
optimized the topology on the metasurface based thermal emitter using machine learning. They used two coupled neural networks to implement GANs (Generative Adversarial Network) to perform unsupervised learning24. Lui et al. used DNN for the inverse optimization of nanophotonic structures and developed ...
tunable metasurfaceIn this paper, we propose a deep learning approach for forward modeling and inverse design of photonic devices containing embedded active metasurface structures. In particular, we demonstrate that combining neural network design of metasurfaces with scattering matrix-based optimization ...
Metasurfaces and metamaterials promise arbitrary rerouting of light using two-dimensional (2D) planar arrangements of electric and magnetic scatterers, res... A Kwadrin,AF Koenderink - 《Physical Review B》 被引量: 3发表: 2014年 Practical method of cell segmentation in electron microscope image ...
Machine learning for materials discovery and optimization Communications Materials (Commun Mater)ISSN2662-4443(online) Sign up for theNature Briefingnewsletter — what matters in science, free to your inbox daily. Email address Sign up I agree my information will be processed in accordance with theNa...
(that is, self-adaptive) cloak driven by deep learning and present a metasurface cloak as an example implementation. In the experiment, the metasurface cloak exhibits a millisecond response time to an ever-changing incident wave and the surrounding environment, without any human intervention. Our ...