Inverse design of lateral hybrid metasurfaces structural colour: an AI approach.

Fang, Rui; Ghasemi, Amir; Zeze, Dagou; Keshavarz Hedayati, Mehdi

Fang, Rui; Ghasemi, Amir; Zeze, Dagou; Keshavarz Hedayati, Mehdi.

Afiliación

Fang R; Department of Engineering, Durham University Durham DH1 3LE UK mehdi.keshavarz-hedayati@durham.ac.uk.
Ghasemi A; Department of Engineering, Durham University Durham DH1 3LE UK mehdi.keshavarz-hedayati@durham.ac.uk.
Zeze D; Department of Engineering, Durham University Durham DH1 3LE UK mehdi.keshavarz-hedayati@durham.ac.uk.
Keshavarz Hedayati M; Department of Engineering, Durham University Durham DH1 3LE UK mehdi.keshavarz-hedayati@durham.ac.uk.

RSC Adv ; 14(35): 25678-25684, 2024 Aug 12.

Article en En | MEDLINE | ID: mdl-39148762

ABSTRACT

ABSTRACT

In conventional metasurface structural colour design, simulations combined with human intuition are used for design and optimization, making it challenging to find the best solution. Here we introduce an innovative AI-assisted design process that bypasses the need for complex simulations, enabling swift and precise mapping between metasurface parameters and colour coordinates. Instead of assigning one colour to one geometry, we demonstrate that multiple colours can be generated from a single geometry under varying levels of strain. This can be achieved through a single model, facilitating the development of active metasurfaces using AI. This finding enables designers to create active metasurfaces that account for both geometric properties and dynamic responses in a unified model which could accelerate the development of active metamaterials closer to practical applications in the real world.

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: RSC Adv Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido

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