Exploring AI in Metasurface Structures with Forward and Inverse Design

iScience, Journal Year: 2025, Volume and Issue: 28(3), P. 111995 - 111995

Published: Feb. 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

Language: Английский

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

Optics Communications, Journal Year: 2025, Volume and Issue: unknown, P. 131684 - 131684

Published: March 1, 2025

Language: Английский

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

Optics Communications, Journal Year: 2024, Volume and Issue: unknown, P. 131390 - 131390

Published: Dec. 1, 2024

Language: Английский