Exploring AI in Metasurface Structures with Forward and Inverse Design

iScience, Год журнала: 2025, Номер 28(3), С. 111995 - 111995

Опубликована: Фев. 15, 2025

As an artificially manufactured planar device, a metasurface structure can produce unusual electromagnetic responses by harnessing four basic characteristics of the light wave. Traditional design processes rely on numerical algorithms combined with parameter optimization. However, such methods are often time-consuming and struggle to match actual responses. This paper aims give unique perspective classify artificial intelligence(AI)-enabled design, dividing it into forward inverse designs according mapping relationship between variables performance. Forward driven intelligent algorithms; neural networks one principal ways realize reverse design. reviews recent progress in AI-enabled examining principles, advantages, potential applications. A rich content detailed comparison help build holistic understanding Moreover, authors believe that this systematic review will pave way for future research selection practical

Язык: Английский

Target-Driven Deep Learning for Optimization Design of Electromagnetically Induced Transparency Metasurfaces Based on Lithium Tantalate

Optics Communications, Год журнала: 2025, Номер unknown, С. 131684 - 131684

Опубликована: Март 1, 2025

Язык: Английский

Deep-learning-assisted inverse design of coding metasurfaces for arbitrarily directed vortex beams

Optics Communications, Год журнала: 2024, Номер unknown, С. 131390 - 131390

Опубликована: Дек. 1, 2024

Язык: Английский