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

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

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.

Citation

Fang, R., Ghasemi, A., Zeze, D., & Keshavarz Hedayati, M. (2024). Inverse design of lateral hybrid metasurfaces structural colour: an AI approach. RSC Advances, 14(35), 25678-25684. https://doi.org/10.1039/d4ra04981k

• Journal Article Type: Article
• Acceptance Date: Jul 27, 2024
• Online Publication Date: Aug 15, 2024
• Publication Date: Aug 31, 2024
• Deposit Date: Aug 23, 2024
• Publicly Available Date: Aug 23, 2024
• Journal: RSC Advances
• Electronic ISSN: 2046-2069
• Publisher: Royal Society of Chemistry
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Issue: 35
• Pages: 25678-25684
• DOI: https://doi.org/10.1039/d4ra04981k
• Public URL: https://durham-repository.worktribe.com/output/2760982