Phase-Gradient Metagratings via Mode Conversion

Hu, Chuanjie; Xu, Yadong; Zhu, Shan; Chen, Huanyang

doi:10.1103/physrevapplied.17.024023

Cited by 3 publications

(3 citation statements)

References 40 publications

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“…To train our physics-informed DL model, we designed an objective function, Equation (6), that is to be minimized to learn the optimal model parameters. The objective function of the inverse model minimizes the loss associated with the design parameter, which is the first term in Equation ( 6).…”

Section: Loss Function Of DL Modelmentioning

confidence: 99%

“…[2] Optical metamaterials have various light modulation applications like, cloaking, [3,4] optical communication, imaging, [5] and holography [6] owing to electromagnetic (EM) characteristics unlike those of any conventional materials and ability to manipulate optical response through interaction with light. [6,7] Given the wide range of application of optical metamaterials, there arises a need to solve the inverse problem, that is, prediction of design parameters given the desired optical response. [8,9] However, inverse problems are often touted as "ill-posed" problems, which is numerically difficult to solve for as there is no closed form solution.…”

Section: Introductionmentioning

confidence: 99%

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Physics‐Informed Machine Learning for Inverse Design of Optical Metamaterials

Sarkar,

Ji,

Jermain

et al. 2023

Advanced Photonics Research

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Optical metamaterials manipulate light through various confinement and scattering processes, offering unique advantages like high performance, small form factor and easy integration with semiconductor devices. However, designing metasurfaces with suitable optical responses for complex metamaterial systems remains challenging due to the exponentially growing computation cost and the ill‐posed nature of inverse problems. To expedite the computation for the inverse design of metasurfaces, a physics‐informed deep learning (DL) framework is used. A tandem DL architecture with physics‐based learning is used to select designs that are scientifically consistent, have low error in design prediction, and accurate reconstruction of optical responses. The authors focus on the inverse design of a representative plasmonic device and consider the prediction of design for the optical response of a single wavelength incident or a spectrum of wavelength in the visible light range. The physics‐based constraint is derived from solving the electromagnetic wave equations for a simplified homogenized model. The model converges with an accuracy up to 97% for inverse design prediction with the optical response for the visible light spectrum as input, and up to 96% for optical response of single wavelength of light as input, with optical response reconstruction accuracy of 99%.

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Section: Loss Function Of DL Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Physics‐Informed Machine Learning for Inverse Design of Optical Metamaterials

Sarkar,

Ji,

Jermain

et al. 2023

Advanced Photonics Research

View full text Add to dashboard Cite

show abstract

“…Many previous designs have focused on reducing the energy of fluctuations directly. [6,7] However, in recent years, rapid development in the field of metamaterials has led to remarkable breakthroughs in manipulating electromagnetic waves, [8,9] acoustic waves, [10] and elastic waves. [11,12] Metamaterials are arrays of subwavelength-sized artificial structures that exhibit unique properties not found in nature, such as negative magnetic permeability, [13] negative mass density, [14][15][16] and more.…”

Section: Introductionmentioning

confidence: 99%

Multiband Elastic Waveguide Cloak in Thin Plates

et al. 2023

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Vibration in thin plates is a common issue in structural engineering that can significantly impact the performance of structures. One crucial objective is to control vibration intensity. Metamaterials offer a promising solution to this challenge. Herein, a multiband elastic waveguide cloak that uses metamaterials and does not require active components or complex designs is introduced. By converting flexural waves to waveguide‐trapped waves, a cloaking region with negligible vibration can be created. Herein, independent mode conversion channels for elastic waves, which could lead to new approaches to modulating elastic waves, are discovered. The experiment results are in excellent agreement with the numerical simulation results and demonstrate a waveguide cloaking effect. This design has a compact structure and exhibits multiband performance, making it highly suitable for vibration control in various scenarios, including the aerospace industry, bridge engineering, and shock‐absorbing platforms.

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