Inverse design of lateral hybrid metasurfaces: an AI approach

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

doi:10.1117/12.3017182

18 June 2024 Inverse design of lateral hybrid metasurfaces: an AI approach

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

Proceedings Volume 13017, Machine Learning in Photonics; 1301709 (2024) https://doi.org/10.1117/12.3017182
Event: SPIE Photonics Europe, 2024, Strasbourg, France

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.

Conference Presentation

Citation Download Citation

Rui Fang, Amir Ghasemi, Dagou Zeze, and Mehdi Keshavarz Hedayati "Inverse design of lateral hybrid metasurfaces: an AI approach", Proc. SPIE 13017, Machine Learning in Photonics, 1301709 (18 June 2024); https://doi.org/10.1117/12.3017182

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