Fang Rui, Ghasemi Amir, Zeze Dagou, Keshavarz Hedayati Mehdi
Department of Engineering, Durham University Durham DH1 3LE UK
RSC Adv. 2024 Aug 15;14(35):25678-25684. doi: 10.1039/d4ra04981k. eCollection 2024 Aug 12.
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.
在传统的超表面结构色设计中,结合人类直觉的模拟被用于设计和优化,这使得找到最佳解决方案具有挑战性。在此,我们引入了一种创新的人工智能辅助设计流程,该流程无需复杂的模拟,能够在超表面参数和颜色坐标之间实现快速精确的映射。我们证明,在不同应变水平下,单一几何结构可以产生多种颜色,而不是为一种几何结构赋予一种颜色。这可以通过单一模型实现,从而促进利用人工智能开发有源超表面。这一发现使设计师能够创建有源超表面,在统一模型中兼顾几何特性和动态响应,这可能会加速有源超材料的发展,使其更接近现实世界中的实际应用。